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Danica Kragic is a Professor of Computer Science at the School of Electrical Engineering and Computer Science at the Royal Institute of Technology (KTH) in Stockholm, Sweden. She serves as the Director of the Centre for Autonomous Systems and leads the Robotics, Perception and Learning Lab at KTH. Her research focuses on advancing robotics capabilities through computer vision and machine learning approaches. MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia (1995) PhD in Computer Science from KTH (2001) Professor Kragic's research primarily centers on robotics, computer vision, and machine learning, with particular emphasis on robotic manipulation, grasp planning, and human-robot interaction. Her work bridges theoretical foundations with practical applications, exploring how robots can understand and interact with objects in complex environments. She investigates how visual and tactile sensing can be integrated to improve robotic perception and manipulation capabilities, with applications ranging from industrial automation to assistive robotics. Her recent publications demonstrate a strong focus on advanced grasp planning techniques, tactile sensing for manipulation, and mathematical representations for robotic control. Kragic's research shows increasing integration of machine learning approaches with traditional robotics frameworks, particularly in the areas of grasp synthesis, object recognition, and human-robot collaboration. Her work spans theoretical contributions in mathematical representations of grasps to practical implementations of robotic systems capable of adapting to novel objects and situations. 2007 IEEE Robotics and Automation Society Early Academic Career Award IEEE Fellow ERC Starting Grant (2012) Member of The Royal Swedish Academy of Sciences Member of The Royal Swedish Academy of Engineering Sciences Honorary Doctorate from Lappeenranta University of Technology Professor Kragic's research has been supported by major funding bodies including the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research, and Swedish Research Council. While specific student names aren't listed in the provided information, her publication record suggests extensive mentorship of PhD students and postdoctoral researchers in robotics and computer vision. Her lab, the Robotics, Perception and Learning Lab, serves as a hub for interdisciplinary research connecting computer science, engineering, and cognitive science perspectives on robotic systems. As Director of the Centre for Autonomous Systems at KTH, Kragic oversees a major research initiative focused on advancing autonomous technologies. Her Robotics, Perception and Learning Lab brings together researchers working on visual perception, machine learning, and robotic manipulation, with particular emphasis on developing systems that can understand and interact with objects in unstructured environments. The lab's work spans theoretical foundations of robotic manipulation to practical implementations of systems capable of learning from experience.

• Robotics
• Computer Vision
• Machine Learning
• +3 more

Yang Liu is a tenured Associate Professor at the Department of Management and Engineering , Linköping University, Sweden, and an Adjunct Professor at the University of Oulu, Finland. His expertise spans smart manufacturing, clean energy transition, and Industry 4.0 applications. He holds an M.Sc. and D.Sc. from the University of Vaasa, Finland. Research & Awards: Liu's work focuses on sustainable systems, decision support systems, and AI-driven energy efficiency. He has authored over 140 Web of Science publications, including top 0.1% ESI Hot Papers. He is ranked among the world's top 2% scientists (Stanford-Elsevier) and leads globally in 'big data analytics in manufacturing' and 'Industry 4.0-driven circular economy' research. Leadership & Projects: He leads projects like FlexSUS (EU Horizon 2020) and PERSEUS, developing tools for smart urban energy planning and 15-minute city models. He serves as Editor-in-Chief of Cleaner Engineering and Technology and Guest Editor for multiple journals. His research emphasizes bridging data science with sustainability challenges in manufacturing and energy systems. Key Achievements: Top-ranked in global citations, ESI Highly Cited Papers, and industry-driven sustainability frameworks. Grants: Leads EU-funded projects and collaborates with Siemens Energy on energy transition solutions. Labs & Teams: Part of the Environmental Technology and Management (MILJÖ) division and Unit for Product Service Innovation (MILJOPSI) at Linköping.

• Smart Manufacturing
• Smart Energy Systems
• Clean Energy Transition
• +5 more

Christian Smith is an Associate Professor and Lecturer at the Department of Robotics, Perception and Learning at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology). His research focuses on robotics and applications in human-centered environments like home environments, small workshops, and healthcare facilities, including the development of new robotic systems for research. Teaching Roles: Course Coordinator/Teacher/Examiner for courses such as Introduction to Robotics (DD2410), Research Project in Robotics (DD2411), and Java Programming for Python Programmers (DD1380) Research Themes: Human-Robot Interaction, Behavior Trees, Exoskeletons, Intent Recognition, and Multimodal Perception Awards: No specific scientific awards mentioned in the provided text His KTH profile highlights work on adaptive robotics systems and formalized control strategies. The research portfolio spans from theoretical studies on behavior tree programming to applied work in assistive technologies and teleoperation systems.

• Robotics
• Human-Robot Interaction
• Machine Learning
• +7 more

Tommy Löfstedt is an Associate Professor at Umeå University , affiliated with the Department of Computing Science and the Department of Mathematics and Mathematical Statistics. His research focuses on machine learning , computer vision , and medical image analysis , with applications in life sciences, radiation therapy, and biomedical imaging. He leads multiple research projects, including AI-driven delineation in radiation therapy, quantitative MRI for radiotherapy, and machine learning for plant nutrient uptake. Current research emphasizes structured regularization methods to improve model interpretability and robustness. Key applications include medical image segmentation , Alzheimer's classification , and uncertainty estimation in MRI . Recent publications highlight his work on morphological regularization , adversarial attack mitigation , and multi-task learning in medical imaging contexts. His projects span 2022–2026 with funding for pediatric oncology automation and gynecological cancer staging. Affiliated with both computing and mathematical departments, he bridges algorithm development with applied mathematical frameworks in medical and life science domains.

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +4 more

Pedro Roque is a Postdoctoral Researcher at KTH Royal Institute of Technology in Stockholm, affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP) and associated with the Division of Decision and Control Systems (DCS). He obtained his Ph.D. in 2024 from the same division under the supervision of Prof. Dimos Dimarogonas, Prof. Mikael Johansson, and Prof. Jana Tumova. His research focuses on practically applicable theoretical results in robotics and control, with emphasis on space and aerial systems. Dr. Roque is particularly interested in developing algorithms that directly contribute to system performance and enhanced capabilities. He currently leads the setup of a Space Robotics Laboratory at KTH, associated with the Space Center and the WASP NEST DISCOWER project. He is an advocate for open-source software and hardware, contributing to NASA Astrobee and PX4 projects, with his research tested on the International Space Station and indoor flight arenas. Dr. Roque's work demonstrates a clear progression from theoretical foundations to practical implementation in space environments. His recent publications show an increasing focus on multi-agent coordination in microgravity, with significant contributions to model predictive control for space robotics applications. The research spans from fundamental control theory to complete system implementation, reflecting his commitment to bridging theory and practice. ICRA 2022 Outstanding Coordination Award for work on decentralized model predictive control for collaborative UAV bar transportation Dr. Roque actively mentors Master's students in Space Robotics, Control, and Vision, with supervision details available on his personal website. He has collaborated extensively with NASA Astrobee and PX4 projects, and his DISCOWER project involves collaboration with 3 Ph.D. students, 2 Master's students, 6 Professors, and one Post-doc. He also completed a 4-month internship at JPL within the Maritime and Multi-Agent Systems group. He leads the Space Robotics Laboratory at KTH, associated with the Space Center and the WASP NEST DISCOWER project, which has already demonstrated capabilities to Digital Futures, SAAB AB, SAAB Inc., and Purdue scholars. The laboratory focuses on weightless robotics, collaborative robotics (Space Cobot), and exploration robotics (MoonHopper), with practical testing on the International Space Station.

• Space Robotics
• Control Theory
• Computer Vision
• +4 more

Claudia Bernhard-Oettel is a Professor and Deputy Head of Department at the Department of Psychology, Stockholm University , with a focus on work and organizational psychology . Her career spans roles at institutions like the Swedish Institute for Working Life, Södertörn University College, and Karolinska Institutet, where she coordinated interdisciplinary initiatives in the Stockholm Stress Center. She serves on editorial boards and grant review committees, including the Research Council for Health, Working Life and Welfare (FORTE) and the Academy of Finland. Education: Diplom in Psychology (equivalent to Master's) from TU Dresden (2001); PhD in Psychology from Stockholm University (2008). Her research examines changing labor markets , emphasizing temporary employment , self-employment , and gig work . Key areas include organizational justice , effort-reward imbalance , and career sustainability . She investigates how job insecurity and psychological contracts affect health, well-being, and career transitions. Recent articles highlight trends in temporary agency work narratives , illegitimate tasks , and self-employment health trajectories . Her workgroup-level analyses of leadership and task design offer practical insights into mitigating stress and turnover in the public sector. Scientific Contributions: Editorial leadership in the Scandinavian Journal of Work and Organizational Psychology (2019–2024). Coordination of the Stockholm Stress Center Graduate School (2017–2018). Membership in grant review committees for FORTE and the Academy of Finland. Advising: Supervised doctoral students in alternative employment forms , organizational justice , and workplace lock-in . Current supervisees include Louise Bergman (2025 defense) and Clara Plückelmann.

• Work and Organizational Psychology
• Temporary and Part-Time Employment
• Self-Employment and Gig Economy
• +7 more

Dr. Pei Huang is a Senior Lecturer in Energy Engineering at Dalarna University, Sweden, working within the Department of Information and Technology. His academic career focuses on multidisciplinary research at the intersection of energy systems, electromobility, and sustainable urban development, with significant contributions to both teaching and research in renewable energy and energy efficiency. Dr. Huang received his Ph.D. from the City University of Hong Kong in 2017. His educational background has provided a strong foundation for his current research in energy systems and sustainable technologies, bridging engineering principles with practical applications in the energy transition. Dr. Huang's research interests span several critical areas in modern energy systems. He specializes in peer-to-peer energy sharing, urban energy systems, and electromobility, with particular focus on electric vehicles as mobile power sources. His work also encompasses positive energy districts, district heating systems, building energy efficiency, and HVAC systems. A distinctive aspect of his research involves applying machine learning to address uncertainty in energy systems, creating more resilient and adaptive solutions for the energy transition. His multidisciplinary approach connects energy engineering with computer science, urban planning, and sustainability science. Analysis of Dr. Huang's recent publications reveals a strong emphasis on integrating electric vehicles into energy systems as flexible resources. His work demonstrates how vehicle-to-grid technology can enhance grid resilience and enable community energy sharing through innovative solutions like the Electric Vehicle based virtual Electricity Network (EVEN). There's also a notable focus on applying artificial intelligence to optimize energy systems, particularly in data-scarce scenarios where he combines clustering analysis and transfer learning. His research bridges the gap between theoretical models and practical implementation, with several studies based on real-world data from Sweden, demonstrating immediate relevance to current energy challenges. Dr. Huang has been highly successful in securing research funding, with approximately SEK 10 million secured for projects at Dalarna University. His current research portfolio includes: PI for a 2023-2026 Energy Agency project on enhancing grid resilience through electric vehicle-based virtual electricity networks (SEK 2.64 million) PI for a 2023-2026 FORMAS project on photovoltaic and electric vehicle utilization (3.75 million SEK, with a competitive success rate of 13.8%) Co-PI and national coordinator for a 2023-2026 CETPartnership project on thermal energy storage in district heating (2.32 million Euro) Co-PI for a 2024-2026 Swedish Energy Agency project on electric vehicles for frequency regulation (3.25 million SEK) Dr. Huang serves on the editorial board of the journal Buildings and has published extensively, with 49 journal articles, 1 book, 5 book chapters, and 19 conference papers to his name. His research has active participation in IEA tasks, demonstrating international recognition of his expertise. In addition to his primary energy research, Dr. Huang has made significant contributions to neuroscience, particularly in Parkinson's disease diagnostics and treatment, showing the breadth of his interdisciplinary approach.

• Electromobility
• Peer-to-peer energy sharing
• Urban energy systems
• +10 more

Thomas Hellstrom is a Professor at the Department of Computer Science , Umeå University, Sweden. He leads the Intelligent Robotics group and is affiliated with the Center for Transdisciplinary AI . His research spans human-robot interaction (HRI) , deep learning applications , robot ethics , and field robotics for agricultural and forestry automation. Coordinated EU projects: INTRO (FP7/ITN), SOCRATES (H2020), CROPS, SWEEPER Developed intelligent walker for stroke patients with CMTS/MT-FoU/Umeå Stroke Center Key contributions in robot learning , causal reasoning , and natural language understanding Research Focus : His work emphasizes understandability in robot behavior, including causal modeling , multi-modal communication , and ethical frameworks for autonomous systems. Current project ROCC (Swedish Research Council) explores robot causality, while SOCRATES addressed social robotics in eldercare. Scientific Awards : • Erdös-Bacon-Sabbath number ≤ 13 Grants & Funding : • ROCC (2023, 3.7M SEK, Principal Investigator) • SCAI (2022, 3.7M SEK, Co-Applicant) • VINNOVA (2019, 3.47M SEK, Co-Applicant)

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +6 more

Eva Lövbrand is a Professor at Linköping University in Sweden, affiliated with the School of Thematic Studies (Institutionen för Tema) and specifically working within Theme Environmental Change (Tema Miljöförändring). Her academic career spans multiple institutions including Kalmar University, Lund University, and international research stays at Stockholm University, University of Melbourne, University of Auckland, and University of Colorado. Her research focuses on the intersection of environmental politics, knowledge production, and policy-making processes, particularly examining how scientific ideas and expert practices shape environmental governance. Lövbrand has made significant contributions to understanding climate governance, the Anthropocene concept in political theory, youth representation in climate politics, and carbon market mechanisms. Her work critically analyzes how environmental problems like climate change become knowable and governable through specific expert practices and measurement systems. Lövbrand's recent publications demonstrate a clear trajectory toward examining societal transformations in response to climate change, with particular attention to youth representation, spatial dimensions of climate transitions, and the political implications of the Anthropocene concept. Her research increasingly addresses questions of justice, representation, and the practical challenges of implementing climate policies in complex societal contexts. She serves as Deputy Program Director for Mistra Geopolitics: Sustainable Development in a New Geopolitical Era, and is Scientific Coordinator for the Earth System Governance Project's Conceptual Task Force on the Anthropocene. Lövbrand is also a member of the editorial boards for several prominent journals including Global Environmental Politics, Critical Policy Studies, The Anthropocene Review, and Earth System Governance Journal. Lövbrand leads and participates in multiple research projects including the Center for Climate Policy Research (CSPR), research on youth representation in world politics, and studies examining Sweden's transition to a fossil-free society. Her work combines theoretical innovation with practical relevance to contemporary environmental challenges.

• Environmental Politics
• Climate Governance
• Anthropocene Studies
• +5 more

Jonas Sjöberg is a Full Professor of Mechatronics at Chalmers University of Technology, where he leads the Mechatronic research group in the College of Engineering. His research spans multiple aspects of mechatronic systems with a strong focus on automotive applications. Sjöberg holds leadership roles in numerous research projects related to autonomous vehicles, vehicle control systems, and transportation safety. His research interests encompass a broad spectrum of mechatronics applications, with particular emphasis on model-based methods, signal processing, control systems, system identification, and optimization for design and product development of mechatronic systems. Sjöberg's work bridges theoretical control engineering with practical automotive applications, especially in the domains of Automotive Active Safety and Hybrid Electric Vehicles. Analysis of Sjöberg's recent publications reveals a strong research trajectory focused on autonomous vehicle technologies, with particular attention to vehicle dynamics control, intersection safety, road surface condition estimation, and optimization of vehicle maneuvers. His work demonstrates a consistent approach of applying advanced control theory to solve real-world transportation challenges, with increasing emphasis on machine learning techniques integrated with traditional control systems. Sjöberg actively supervises research and education at both undergraduate and graduate levels while leading multiple research projects funded by VINNOVA, the European Commission, and other organizations. His research group collaborates extensively with both academic institutions and industry partners in the automotive sector. His laboratory work focuses on mechatronic systems development, particularly for automotive applications including autonomous bicycles, bus docking systems, and vehicle control algorithms. The research group maintains strong connections with the automotive industry, particularly in Sweden's robust vehicle technology ecosystem.

• Mechatronics
• Signal Processing
• Control Systems
• +7 more

Petra Lindfors is a Professor of Psychology, specializing in work and organizational psychology, at the Department of Psychology, Stockholm University. She has held this position since December 2013 and is actively involved in multiple research projects focusing on stress, health, and well-being across various contexts including workplaces, educational settings, and home environments. Her academic journey began with her thesis defense in 2002, which focused on stress, health, and well-being among teleworking women and men as part of the Boundless Work project. She was accepted as an associate professor in psychology at the Faculty of Social Sciences, Stockholm University, in September 2006, and was hired as a lecturer at the Department of Psychology in July 2007. Throughout her career, she has maintained active research collaborations at both the Department of Psychology and the Centre for Health Equity Studies (CHESS) at Stockholm University/Karolinska Institutet. Lindfors' research interests span multiple dimensions of work and organizational psychology. Her primary focus is on self-reported and objective aspects of stress, health, and well-being among adults and young people across various contexts. She has developed significant expertise in workplace interventions related to harmful substance use, work-life balance, gender differences in work environments, and mental health promotion. Her work often examines how organizational structures and policies affect individual health outcomes, with particular attention to vulnerable populations and gender differences. Analysis of her recent publications reveals strong thematic consistency centered on occupational health psychology. Her research employs both variable-oriented and person-oriented approaches to examine job insecurity, work-home interference, stress responses, and health outcomes. A notable trend is her increasing focus on methodological innovation, particularly in studying workplace interventions and mental health among young adults. Her work bridges theoretical organizational psychology with practical workplace applications, often resulting in concrete recommendations for employers and policymakers. Two-year post-doc scholarship from the Anna Ahlström and Ellen Terserus Foundation (2005) Associate editor for the Nordic Journal of Working Life Studies (since 2021) Member of the Quality Council for the Swedish Work Environment Authority (2019-2022) As an academic supervisor, Lindfors has mentored an impressive number of doctoral students, with completions spanning from 2008 to the projected 2025 graduation of Anna S Tanimoto. She has served as main supervisor for numerous successful academics who have gone on to professorial positions, including Ulrica von Thiele Schwarz at Mälardalen University College. Her supervisory approach appears comprehensive, extending beyond thesis completion to postdoctoral mentorship and career development. Regarding research funding, she has secured significant grants from AFA Försäkring for projects examining organizational interventions for health-promoting work, and has been involved with Stockholm Stress Center, a FORTE-financed interdisciplinary research center. Her work demonstrates sustained success in attracting competitive research funding across multiple domains of occupational health. Lindfors leads the research group 'Harmful use in the workplace – prevention and intervention,' which addresses critical issues related to alcohol, drug, and gambling problems in professional settings. She has also been instrumental in shaping the Department of Psychology's strategic direction, serving as chairman of the board of the Stockholm University Department of Psychology (SUPK) from 2016-2024 and currently as a regular member of the Department's board for 2024-2026. Her collaborative approach is evident in her involvement with multiple interdisciplinary projects, including those examining natural environments, cognitive abilities in military contexts, and school environments' impact on youth mental health.

• Work and Organizational Psychology
• Stress and Health
• Psychological Well-being
• +5 more

Maj Stenmark serves as Associate Professor at Lund University's Faculty of Engineering, Department of Computer Science, with cross-appointments in Children Cardiology and Robotics and Semantic Systems. They are actively involved in multiple research initiatives including the LTH Engineering Health profile area and LU's Natural and Artificial Cognition profile. Stenmark's research focuses on human-robot interaction, specifically simplifying robot task programming for intelligent systems. Their work bridges computer science and medical applications, with emphasis on surgical robotics and vision-based tracking systems. Current projects include CAISA (Collaborative Artificial Intelligent Surgical Assistant) in partnership with Skåne University Hospital's Children's Heart Center and robotics companies Cognibotics and Cobotic. Analysis of recent publications reveals strong trends in medical robotics applications, particularly vision-based surgical assistance systems. Their work combines computer vision, language models, and behavior trees to create robotic surgical assistants, with growing emphasis on dual-arm robot programming using deep learning models with language and vision instructions. Stenmark actively supervises researchers including H. Ismail and E. Ertürk, and participates in major funding initiatives including WASP and Vinnova competence centers. Their research receives support from Swedish Government Agency for Innovation Systems (Vinnova) and the ELLIIT initiative. They lead the development of robotic scrub nurse technology through vision tracking of surgical hand and instrument motions, and manage infrastructure related to The Tissue Bank in Lund. Stenmark also engages in knowledge transfer through NEXTG2COM workshops and media appearances discussing AI applications in pediatric heart surgery.

• Human-Robot Interaction
• Medical Robotics
• Computer Vision
• +3 more

Yiannis Karayiannidis is a Senior Researcher (equivalent to Associate Professor/Research) with the Division of Systems and Control (SYSCON), Department of Electrical Engineering at Chalmers University of Technology. He maintains a significant affiliation with the Department of Robotics, Perception and Learning at KTH Royal Institute of Technology, demonstrating his cross-institutional impact in the Swedish robotics community. Dr. Karayiannidis earned his Diploma in Engineering in 2004, followed by a Ph.D. in Engineering in 2009, and achieved Docent status in 2017. His academic journey has focused on robotics and control systems, establishing him as a leading researcher in these fields. His primary research interests span robot control, robotic manipulation in human-centered environments, dual arm manipulation, force control, robotic assembly, control of physical human-robot interaction, multi-agent robotic systems, adaptive control and nonlinear control systems. Dr. Karayiannidis has made significant contributions to the understanding of deformable object manipulation, contact-rich robotic tasks, and human-robot collaboration. His work bridges theoretical control systems with practical robotic applications, particularly in scenarios requiring precise physical interaction. Analysis of his recent publications reveals a strong focus on advanced manipulation techniques, particularly for deformable linear objects, and human-robot collaborative tasks. His research increasingly incorporates machine learning approaches, especially reinforcement learning, to address complex manipulation challenges. There is also a clear emphasis on practical applications in industrial settings, with several projects related to robotic assembly and cable routing. Dr. Karayiannidis serves as Associate Editor for the IEEE Robotics and Automation Letters, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and the European Control Conference. He is also the treasurer of the IEEE Robotics Chapter in Sweden and a WASP-affiliated researcher. He has served as Principal Investigator for multiple research projects including DARMA and DARMA_bridge (funded by WASP), CHROMA (funded by VR), and the H2020 SARAFun project. His current projects include "Learning & Understanding Human-Centered Robotic Manipulation Strategies" (2020-2025), "Computer Vision and Machine Learning for Robot Systems" (2019-2021), and "ViMCoR" (2019-2021) in collaboration with Volvo Group. Dr. Karayiannidis is actively involved in the robotics research community through his editorial roles and project leadership. His work connects theoretical control systems with practical robotic applications, particularly in industrial and human-robot collaborative settings.

• robot control
• robotic manipulation
• dual arm manipulation
• +7 more

Lars Oestreicher is a Senior Lecturer at the Department of Information Technology at Uppsala University. He holds a Dr. Tech. degree and has been recognized as an Excellent teacher. His work focuses on Human-Computer Interaction with particular emphasis on accessibility and inclusive design. His research interests include disability research, non-excluding design, universal design, usability, user interface programming, and the relationship between AI and art. Notably, he led the MUMIn project (Maximal Expression - Minimal Interaction) at Årsta special needs school in Uppsala, which created conditions for children to actively play music through the use of IT. This project exemplifies his commitment to using technology to empower individuals with special needs. Oestreicher teaches Interface Programming 1 and 2, as well as the course Non-Exclusive Design which focuses on disabilities. His recent publications show a strong trend toward AI ethics, cultural competence in digital systems, cognitive aspects of human-computer interaction, and assistive technologies. His work often bridges the gap between technical systems and human needs, particularly for vulnerable populations. His scholarly output demonstrates consistent quality and relevance over several decades. His most impactful recent works address critical questions about AI ethics in human contexts, cultural competence in image analysis, and the future of assistive technologies. Oestreicher's research methodology consistently emphasizes user participation and co-learning, reflecting his commitment to designing technology that genuinely serves user needs rather than imposing technological solutions on users. What is the problem to which AI chatbots are the solution? (2024) explores AI ethics through philosophical frameworks From Visual Forms to Metaphors (2022) targets cultural competence in image analysis Cognitive Chunks as Neural Activity (2019) investigates the relationship between thought and neural activity Future assistive devices (2019) examines implications of emerging assistive technologies Oestreicher maintains an active presence in the academic community with publications spanning several decades. His work shows consistent focus on human-centered computing with particular attention to inclusive design principles. He also maintains a blog on Medium under the handle @Moomindad where he discusses various topics that interest him and has garnered attention across multiple platforms including news outlets, blog posts, patents, and Wikipedia pages.

• Human-Computer Interaction
• Artificial Intelligence
• Disability Research
• +6 more

Parag Khanna is a Doctoral Student at the Division of Robotics, Perception and Learning , KTH Royal Institute of Technology. His work focuses on Human-Robot Interaction (HRI) , particularly in developing adaptive techniques for robot-human handovers. University: KTH Royal Institute of Technology Department: Robotics, Perception and Learning Khanna's research explores physical and social aspects of HRI . He studies human-human handovers to improve robotic grip release strategies and object weight adaptation. His work also delves into non-touch modalities like EEG and gaze tracking for intention detection. His recent publications highlight advancements in data-driven control , failure explanations , and multimodal datasets for HRI. Notable works include the REFLEX Dataset and studies on adaptive grip release in human-robot collaborations. Key Research Areas: Human-Robot Handovers Machine Learning for Robotics EEG and Gaze-Based Intention Detection Failure Communication in Social HRI Khanna is affiliated with the Digital Futures - Advanced Adaptive Intelligent Systems project, aiming to empower elderly and disabled individuals through autonomous robotics.

• Human-Robot Interaction
• Machine Learning
• Robotics
• +3 more