جستجوی استاد راهنمای دانشگاهی

• Autonomy of robots and vehicles
• Motion planning
• Optimal motion control
• +۶ مورد دیگر

Björn Olofsson is an Associate Professor and Senior Lecturer in the Department of Automatic Control at Lund University's Faculty of Engineering. He also serves as the Director of First and Second Cycle Studies and is a Project Manager. He is affiliated with major research initiatives including ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and WASP (Wallenberg AI, Autonomous Systems and Software Program). His academic affiliations span Lund University and Linköping University, where he was appointed Docent in 2020. He holds an M.Sc. in Engineering Physics and a Ph.D. in Automatic Control, both from Lund University. His academic journey reflects a strong foundation in engineering and control systems. His research focuses on the autonomy of robots and vehicles, with emphasis on motion planning and optimal motion control. He explores applications in ground vehicles, unmanned aerial and surface vehicles, and industrial robotics. His work intersects with key global challenges, including sustainable transport and digitalization, aligning with UN Sustainable Development Goals related to technology and health. The 15 most recent publications analyzed show a consistent trend in autonomous systems, predictive control, and robotics. Topics include uncertainty-aware motion planning, human-robot collaboration, maritime autonomy, and learning-based control. The research integrates AI, machine learning, and advanced control theory, applied across aerial, marine, and terrestrial domains. Björn actively supervises multiple PhD students and has led numerous research projects, such as ELLIIT B14 and the Center for Construction Robotics. He is involved in organizing academic events like Robotics Week for Schools and manages the RobotLab LTH infrastructure. He has taught a range of courses including Applied Robotics, Autonomous Vehicles, and graduate-level courses on motion planning and optimal control. He also supervises Master’s theses in Automatic Control and Vehicular Systems.

Henny Admoniمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Assistive Robotics
• Machine Learning
• +۷ مورد دیگر

Henny Admoni is an Associate Professor at the Robotics Institute, Carnegie Mellon University . She leads the Human And Robot Partners (HARP) Lab and is currently a Digital Futures Scholar in Residence at KTH Royal Institute of Technology through August 2025. Her research focuses on human-robot interaction, assistive robotics, and modeling human behavior to develop intelligent systems that collaborate seamlessly with humans. PhD in Computer Science, Yale University MS in Computer Science, Yale University BA/MA joint degree in Computer Science, Wesleyan University Her work integrates methodologies from robotics, machine learning, artificial intelligence, computer perception, and cognitive science , with applications in physical support for daily living, driving assistance, social support networks, and collaborative tasks like household cleanup . She develops algorithms for proactive, fluent, and interpretable robot behavior , leveraging human mental state modeling and eye-gaze analysis. Recent publications include studies on driver situational awareness, robot self-assessment, and human-AI teaming , primarily in venues like IROS, HRI, CoRL, and RSS . Her research has evolved from eye-gaze-based intent prediction to proactive robot learning and strategic human-AI collaboration . Scientific recognition includes: NSF CAREER grant Okawa Research Grant A. Nico Habermann Career Development Professorship Her research is funded by NSF, ONR, Paralyzed Veterans of America Foundation, Google, Meta, and Sony AI . She emphasizes interdisciplinary collaboration and student engagement through weekly lab meetings and structured research opportunities. The HARP Lab explores human-robot shared manipulation, social support AI, and driver assistance systems , with a focus on human psychology and agency in robotic interactions.

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۷ مورد دیگر

Mårten Björkman is a Professor at the School of Electrical Engineering and Computer Science , Royal Institute of Technology (KTH) , specializing in Robotics, Perception and Learning . His research bridges 3D computer vision with multimodal sensor fusion, including force-torque sensing, to enhance human-robot interaction. Recent work focuses on modeling sequential data for robotic control, human movement prediction, and power systems. Key research areas include: Reinforcement learning for robotic systems Human movement analysis and prediction Implicit regularization in neural networks Online learning for dynamical systems Power system control with AI 3D perception through multi-view vision His recent publications span deep learning for assembly inspection , EEG-based brain-robot interfaces , safe reinforcement learning , and multimodal motion generation . The work intersects robotics, machine learning, and human-centric system design. The Robotics, Perception and Learning division at KTH hosts his research, equipped with state-of-the-art facilities for robotic vision and human interaction studies.

Magnus Söderlundمشاهده پروفایل

استاد

• Consumer Behavior
• Service Robots
• Customer Satisfaction
• +۳ مورد دیگر

Magnus Söderlund is Professor at the Stockholm School of Economics' Department of Marketing and Strategy, holding the endowed Olof A Söderberg Chair in Business Administration. His research specializes in consumer reactions to marketing stimuli, including service encounters, retail environments, and emerging technologies like service robots. Research Focus: Söderlund examines psychological and behavioral responses including satisfaction, loyalty, emotions, and justice perceptions. His current work explores human reactions to non-human agents (virtual assistants, service robots), anticipating increased human-robot interactions. He champions experimental methods to assess causal relationships in marketing, detailed in his book Experiments in Marketing . Primary research domains include: Consumer behavior in service robotics contexts Ethical implications of AI in service delivery Psychological mechanisms driving customer satisfaction His 15 most recent publications (2022-2025) reveal concentrated work on service robots' social intelligence, ethical boundaries, and impact on consumer satisfaction. Key trends include examinations of robot anthropomorphism, privacy violations, multi-agent interactions, and failure recovery in automated service encounters. Awards & Recognition: Olof A Söderberg Chair in Business Administration (endowed position) He leads the Artificial Interactions research project ( artificialinteractions.org ) investigating human responses to non-human entities. No specific grants, students, or labs are detailed beyond this initiative.

Simon Larssonمشاهده پروفایل

پژوهشگر

• Social Anthropology
• Anthropology of Religion
• Colonial History
• +۸ مورد دیگر

Simon Larsson is a Researcher in Social Anthropology at the Center for Multidisciplinary Research on Religion and Society (CRS), Department of Theology, Uppsala University. His work bridges colonial history, Christianity, and the social implications of emerging technologies including AI, nanotechnology, and cybersecurity, with a strong focus on governance frameworks in natural resource management. His research interests reveal a distinctive interdisciplinary trajectory examining how technological systems intersect with religious practices and colonial legacies. Key themes include the anthropology of Christianity in legal-historical contexts (evident in Congo mission studies), digital technology's societal impacts (particularly machine learning's parallels with traditional oracles), and collaborative governance models in environmental conflicts across Sweden and sub-Saharan Africa. Fieldwork spans diverse geographical settings from New Mexico's geological landscapes to Côte d'Ivoire's ritual practices, emphasizing local knowledge systems. Recent publications demonstrate a pronounced shift toward analyzing technology's ethical dimensions through anthropological frameworks, while maintaining continuity in environmental governance research. His 2024-2025 works particularly highlight comparative studies of contingency reduction mechanisms across magical, religious, and algorithmic systems, alongside practical applications in maritime logistics and wildlife management. Larsson's research is primarily funded by the Swedish Research Council, Formas, Mistra, and the Swedish Transport Administration, with additional support from multiple foundations. His collaborative projects frequently involve cross-institutional teams addressing real-world governance challenges in conservation, transportation, and human-technology interaction. As a core member of the Center for Multidisciplinary Research on Religion and Society (CRS), he contributes to an integrated research environment that connects theological studies with anthropological fieldwork and policy-oriented governance analysis, facilitating dialogue between religious traditions and contemporary technological societies.

• Artificial Intelligence
• Human-Computer Interaction
• Machine Learning
• +۹ مورد دیگر

Rita Kovordanyi is a Senior Lecturer and Associate Professor at the Department of Computer Science (IDA) , Linköping University (LIU) , where she contributes to the Human-Centered Systems (HCS) research group. Her academic work bridges multiple domains including Artificial Intelligence, Human-Computer Interaction, and Crisis Management. Research Interests Machine Learning applications in occupational health and stress detection Cognitive modeling and attention focus in digital environments Crisis management training systems using simulation technologies Disaster risk reduction through computational meteorology Human-robot interaction in military operations Neural network-based cyclone track forecasting Recent Publication Trends Her research output spans from 2012 to 2022, showing a consistent focus on Human-Centered Systems with applications in: health monitoring (IoT, workplace well-being), military technology (unmanned vehicles), disaster response (cyclone forecasting), and educational simulations. Key methodologies include LSTM networks , GANs , and biologically-based hierarchical modeling . The work frequently intersects with Human-Computer Interaction and Cognitive Science while maintaining practical applications in Emergency Management and Transportation Safety . Academic Affiliation Department: Department of Computer Science (IDA) University: Linköping University Research Group: Human-Centered Systems (HCS) Email: rita.kovordanyi@liu.se

Ida Lindgrenمشاهده پروفایل

استاد

• Digital Government
• E-Services
• Public Sector Automation
• +۲ مورد دیگر

Ida Lindgren is Professor in Information Systems at Linköping University's Department of Management and Engineering, studying digitalization's impact on public sector organizations. Education: PhD Information Systems Development (Linköping 2013), MSc Cognitive Science. Research examines e-service design, citizen-government interactions, and automation in welfare services. Focuses on accessibility challenges and organizational transformations. Awards: Outstanding Paper Award (IFIP EGOV 2015) Börje Langefors Award Runner-up Leads projects on RPA implementation in municipalities. Editorial board member for Government Information Quarterly. Chairs IFIP WG 8.5 on Information Systems in Public Administration.

Trond Arild Tjøstheimمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Robotics
• Computational Neuroscience
• +۷ مورد دیگر

Trond Arild Tjøstheim is a Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work bridges cognitive science, psychology, and computer science, focusing on neural networks, communication as a biological phenomenon, and philosophical considerations of mental states. He investigates memory models for robots, humanoid platforms, cognitive aspects of rhythm, and artificial arousal systems. Current teaching includes the 'Social AI Through the Looking Glass' course (SASH92). Research interests include system-level brain modeling, robot control, and the interplay between memory and reinforcement learning. Key projects involve the MoMa project (kinematics of human-robot interaction) and the CogPhi research group. He has been awarded the Oscar II's stipendium (2023). Recent activities include media appearances (e.g., podcast interviews on decision-making), conferences (International Political Theory Conference), and public engagements (Robotveckan 2024). He contributes to the VR Lab and the eSSENCE collaboration for system-level modeling.

• User Experience Design
• Human-Computer Interaction
• Human-Robot Interaction
• +۳ مورد دیگر

Beatrice Alenljung is an Associate Professor of Information Technology at the University of Skövde, Sweden, leading the Interaction Lab. She specializes in human-centered technology research with a focus on user experience (UX) design, human-robot interaction, and decision support systems. Her work bridges theoretical insights with practical applications in fields like healthcare robotics, industrial automation, and educational technology. She teaches in the User Experience Design program and actively contributes to interdisciplinary projects addressing challenges in aging populations, industrial collaboration, and sustainable digital transformation. Key ongoing projects include exploring socially assistive robots for older adults (RoSA and RO-LIV), optimizing human-robot collaboration in manufacturing (KOMPARO and AIHURO), and risk reduction strategies for emergency services through digital simulation. Her research emphasizes empirical studies on UX evaluation frameworks (e.g., ANEMONE), human factors in robotics, and the societal impacts of emerging technologies. Alenljung has authored over 40 peer-reviewed publications, spanning conference papers and book chapters in HCI, robotics, and requirements engineering. She holds a PhD in Decision Support Systems from the University of Skövde and has maintained collaborative ties with industries and institutions across Europe.

• eHealth
• Health Informatics
• Pharmaceutical Informatics
• +۵ مورد دیگر

Tora Hammar is an Associate Professor in Health Informatics and Pharmaceuticals at the eHealth Institute, Linnaeus University. She holds a PhD in Biomedical Sciences and has extensive experience in research, education, and collaboration within eHealth and medication management. Her work focuses on improving healthcare safety and efficiency through digital tools, including clinical decision support systems, electronic prescribing, and patient-centered medication processes. Education: Phil. Dr. (Associate Professor) Master's degree in Biomedical Science Bachelor's degree in Pharmacy Research Interests: Her research emphasizes drug informatics, eHealth systems, and pharmaceutical informatics. Key areas include: Preventing adverse drug events via decision support Optimizing medication management for elderly populations Evaluation of national medication lists and e-prescription systems Health IT implementation challenges and solutions Patient engagement through digital tools Grants & Projects: Leader of projects on national medication list effects and clinical decision support Contributions to the eHealth Arena initiative Research on deprescribing and drug interaction databases Labs & Teams: Active member of the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) and the ReAction group, which focuses on resilient healthcare systems and patient activation.

Amy Loutfiمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Amy Loutfi is a Professor of Information Technology at Örebro University, where she leads the AI, Robotics and Cybersecurity Center (ARC), and serves as Program Director for the Wallenberg AI, Autonomous Systems and Software Program (WASP) at Linköping University. Born in Saint John, Canada (1978), she earned her PhD in Computer Science from Örebro University (2006) and became a Docent (2011) and Professor (2015) in Information Technology there. Her research focuses on intelligent sensor systems, particularly their integration with artificial intelligence to convert raw data (e.g., from robotic olfaction or vision sensors) into human-interpretable semantic information. She explores human-robot interaction dynamics, emphasizing safety, collaboration, and usability across diverse environments like homes and industries. Key projects include BioLearning (water quality analysis), MicroSens (taste perception via microbiota), and TeamRob (robot teams working with humans). Amy’s work bridges technical innovation with societal impact, addressing challenges in healthcare, elder care, and smart home technologies. She advocates for Sweden’s national AI strategy and emphasizes ethical considerations in emerging robotics. Her research also involves collaboration with industry and public sectors, as seen in the E-care@home and Mednose initiatives. In 2020, she was elected to the Royal Swedish Academy of Engineering Sciences (IVA) for her contributions. Her grants and projects include strategic funding for AI applications and interdisciplinary collaborations. She collaborates with global teams and contributes to conferences like ICSR (Social Robotics) and ECAI (Artificial Intelligence).

Volker Kruegerمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Volker Krueger is Professor at Lund University's Department of Computer Science, with joint appointments in Robotics and Semantic Systems. He leads research at the intersection of artificial intelligence, computer vision, and autonomous systems through the ELLIIT initiative and NEXTG2COM Competence Centre. His research group focuses on developing robust perception and decision-making systems for industrial and service robotics applications. Research interests span robot perception under challenging conditions, uncertainty quantification in machine learning models, and human-robot interaction frameworks. Recent projects investigate vision-language models for robotic failure handling, domain-specific languages for robot programming, and optimization methods for logistics systems. His laboratory coordinates multiple European projects including RIACT (Radical Innovation of Adaptive Cobot Technology) and NextG2Com (Next Generation Communication Infrastructures). He actively promotes robotics education through initiatives like the Robotics Week for Schools and maintains extensive industry collaborations in manufacturing and automation sectors.

Frida Pemerمشاهده پروفایل

دانشیار

• Digital Transformation
• Professional Services
• Management Consulting
• +۴ مورد دیگر

Frida Pemer serves as Associate Professor at the Department of Management and Organization and House of Innovation at Stockholm School of Economics (SSE). She also holds positions as Docent at the Department of Management and Organization and Research Fellow at the Department of Entrepreneurship, Innovation and Technology. Pemer leads the research group Future of Expertise (FOX) and has held visiting researcher positions at Scancor, Stanford University, and Saïd Business School, Oxford University. Her research centers on digital transformation and professional services, with particular focus on how digitalization, robotization and AI lead to profound changes in professional service firms. Pemer has received substantial research funding from prestigious sources including Marianne and Marcus Wallenbergs Stiftelse, Handelsbanken, Riksbankens Jubileumsfond, Forte, and AFA Försäkring for projects examining topics such as human-machine interfaces, remote work time perception, ChatGPT implementation, organizational ecosystems for learning, and leadership in distance collaboration. Pemer's scholarly output demonstrates consistent focus on digital disruption in professional services, with recent publications examining generative AI, virtual teamwork, professional identity formation during the pandemic, and the emergence of tech-based management consultancies. Her work spans organizational theory, digital transformation, and the evolving nature of professional expertise in the digital age. Wallander scholarship for best Swedish dissertation in business administration (2008) Pemer directs and teaches executive education programs at SSE focused on digitalization and transformation. She has secured significant research funding for multiple projects examining the intersection of technology and professional work, including a current 2024 grant from Marianne and Marcus Wallenbergs Stiftelse on 'Leading from the Human-Machine Interface: Technology and the Future of Work.' Her research group Future of Expertise (FOX) serves as a hub for investigating how digital technologies reshape professional knowledge and service delivery. As founder of the Future of Expertise (FOX) research group, Pemer has established a dedicated space for examining how digital technologies transform professional work and expertise. Her research combines theoretical rigor with practical relevance, often collaborating with industry partners to examine real-world implications of digital transformation in professional service settings.

Petter Ögrenمشاهده پروفایل

استاد

• Modular Robot Control Architectures
• Multi-agent Systems
• Human-Robot Teaming
• +۳ مورد دیگر

Petter Ögren is a Professor at the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology. He holds a M.S. in Engineering Physics and a Ph.D. in Applied Mathematics from KTH. Previously, he worked as a senior scientist and deputy research director at the Swedish Defence Research Agency (FOI). His research focuses on modular control systems, multi-agent systems, and human-robot teaming, emphasizing robustness, safety, and user-friendliness. Key contributions include the development of Behavior Trees as a modular control architecture. Education: - Ph.D. in Applied Mathematics (KTH, 2003) - M.S. in Engineering Physics (KTH, 1998) Research Interests : - Behavior Trees in Robotics and AI - Multi-agent coordination and formation control - Human-robot collaboration in complex tasks - Autonomous systems and decision-making under uncertainty Advising & Grants : - Supervised over 15 PhD students in projects funded by EU, Swedish Space Corporation, SSF, Vinnova, and WASP. - Key projects include CARMA, SMaRC, and TRADR. Labs/Teams : - Leads research in autonomous systems, mobile robotics, and human-robot interaction at KTH's Robotics Lab.

Olov Anderssonمشاهده پروفایل

استادیار

• Autonomous Systems
• Robotics
• Artificial Intelligence
• +۵ مورد دیگر

Olov Andersson is an Assistant Professor and WASP Fellow in AI for Autonomous Systems at KTH Royal Institute of Technology, leading the Division of Robotics, Perception and Learning. His research focuses on Embodied AI for autonomous robots and vehicles, combining advancements in Vision-Language Models (VLM), Large Language Models (LLM), and real-world navigation challenges. Key projects include the DARPA SubT Challenge-winning team CERBERUS and the EU H2020 Heron project for robotic road repair. He supervises multiple PhD students and postdocs, including Timon Homberger, Finn Lukas Busch, and Jesper Eriksson. Research interests emphasize full-stack autonomy in dynamic environments, including planning, mapping, and navigation. Notable contributions include the OneMap real-time open-vocabulary mapping system and self-supervised scene flow methods like Seflow. He has been recognized for technical leadership in autonomous systems through awards like the WASP Fellowship. Professional activities include co-chairing the 2024 IROS workshop on robot perception in dynamic environments and advising the Swedish Prime Minister’s AI initiative. Teaching roles span multiple graduate courses in machine learning, robotics, and systems engineering at KTH.