جستجوی استاد راهنمای دانشگاهی

Dr. Julio Rogelio Guadarrama Olvera is a researcher and leader of the Humanoid Robotics Group at the Chair of Cognitive Systems, Technical University of Munich (Prof. Gordon Cheng). He holds a Dr.-Ing. (Engineering Doctorate) from TUM, awarded with honors in 2021 for his thesis on humanoid robot whole-body control and biped locomotion. His current role includes postdoctoral research focusing on tactile feedback control, object manipulation, and bipedal locomotion. Education: Bachelor's in Mechatronic Engineering (2011), National Polytechnic Institute, Mexico City Master's in Engineering (2013), Center for Research and Advanced Studies, National Polytechnic Institute, Mexico City PhD in Robotics (2021), Technical University of Munich Research Interests: His work centers on advanced robotics systems, particularly tactile-based control for humanoid robots, bipedal locomotion stability, and human-robot interaction. Key areas include: Development of artificial robot skin for sensory feedback Real-time control algorithms for dynamic environments Ethical and safety frameworks for collaborative robots Applications in healthcare robotics and neuroengineering Teaching: Active in teaching advanced robotics courses such as ' Modelling and Control of Legged Robots ' and ' Practical Course RoboCup@Home ' at TUM. Labs/Teams: Leads the Humanoid Robotics Group within ICS, collaborating with international teams on projects like tactile feedback systems and robot skin technology. Involved in EU and industry-funded robotics initiatives.

• Humanoid Robotics
• Biped Locomotion
• Tactile Feedback Control
• +۴ مورد دیگر

Viviana Wittemeier is a Professor at the Institute for Cognitive Systems (ICS) at the Technical University of Munich (TUM). She is affiliated with Prof. Gordon Cheng's team and is based at the Karlstraße 45/II address in Munich. Her research focuses on advanced fields such as Artificial Robot Skin, Humanoid Robotics, Neuroengineering, Purposive Learning, and Soft Wearable Robotics. These areas align with the institute's broader goals in cognitive systems and robotics innovation. No specific articles or scientific awards are explicitly listed in the provided text. She coordinates with the team assistant, Mrs. Ilona Nar-Witte, and her contact details include the phone number +49 (89) 289-26821 and email viviana.wittemeier@tum.de. Her professional activities may involve teaching and research within the institute's programs, such as the ENB Elite Master of Science in Neuroengineering (MSNE).

• Artificial robot skin
• Humanoid Robotics
• Neuroengineering
• +۲ مورد دیگر

Prof. Cecilia Laschi is a leading scholar in soft robotics, currently holding the Provost’s Chair Professor position at the National University of Singapore. She directs the Soft Robotics Lab and co-leads the CARTIN Centre for Advanced Robotics Technology and Innovation. Her academic journey includes a Computer Science degree from the University of Pisa and a Ph.D. in Robotics from the University of Genoa. Research Focus: Bioinspired robotics, soft material-based systems, octopus-inspired design, marine robotics, and biomedical applications for eldercare. Leadership Roles: Editor-in-Chief of Bioinspiration & Biomimetics , Specialty Chief Editor for Soft Robotics at Frontiers in Robotics & AI , and active member of the IEEE Robotics & Automation Society's Technical Committee on Soft Robotics. Her scientific contributions have been recognized through prestigious fellowships and advisory positions in international academic societies. She co-founded RoboTech, an edutainment robotics spin-off, and has chaired major conferences including RoboSoft and the Gordon Research Conference on Robotics (2024).

• Soft Robotics
• Bioinspired Robotics
• Marine Robotics
• +۴ مورد دیگر

Dr. Ahmed Soliman is a Research Associate in the (Semi-)Automation of Robots in Challenging Environments at the University of Manchester, affiliated with the Department of Electrical and Electronic Engineering. He also holds an academic position at Ozyegin University. His expertise spans robotics, control systems, and biomedical engineering, with a focus on exoskeleton design and adaptive control. Education: Doctor of Engineering (2023), Ozyegin University: Optimal Trajectory Generation and Adaptive Control of an Underactuated and Self-Balancing Lower Body Exoskeleton Master of Science (2015), Cairo University: Construction and Control of a Single-Legged Robot Bachelor of Engineering & Science (2009), Helwan University: Mechatronics Engineering Research Interests: Robotics and mechatronics Control systems for exoskeletons Simulation and mechanical design optimization Self-balancing algorithms for humanoid robots Recent Work: His publications emphasize exoskeleton development, with contributions to bipedal locomotion control and data transparency in clinical trials. Collaborations include work on the Co-Ex exoskeleton prototype.

• Robotics
• Control Systems
• Mechanical Engineering
• +۳ مورد دیگر

Ad Spiers is an Assistant Professor in Robotics and Machine Learning at the Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London. He leads the Manipulation and Touch Lab and is affiliated with the Robotics Forum. His research focuses on robot manipulation, biomechanics-inspired robotic hardware, and assistive technologies like shape-changing haptic interfaces for vision impairment. Prior affiliations include the Max Planck Institute for Intelligent Systems, Yale University, and the University of Reading. Research interests span robot manipulation strategies, upper-limb prosthetics, tactile sensing systems, and non-visual navigation aids. His work integrates biological principles with engineering solutions, emphasizing practical applications in healthcare and human-robot interaction. Recent studies explore variable-friction grippers, tactile sensor design, and quantifying motion compensation in amputee populations. Publications highlight advancements in haptic interfaces, low-cost robotic grippers, and perceptual studies in navigation assistance. His lab’s innovations include the Deshi shape-changing haptic device and the UniTac-NV tactile sensor framework. No scientific awards are explicitly noted in the provided text. Ad Spiers collaborates across disciplines, combining mechanical engineering, AI, and clinical science. His work on shape-changing haptic interfaces has been tested in immersive theater settings to evaluate user experience. Current projects emphasize open-source robotic platforms and at-home studies of prosthetic usage patterns.

• Robot Manipulation
• Humanoid Robotics
• Haptic Interfaces
• +۴ مورد دیگر

Ubbo Visser is an Associate Professor and Director of Graduate Studies in the Department of Computer Science at the University of Miami's College of Arts and Sciences. He is also a Fellow of the CNSA. His research focuses on Artificial Intelligence, Robotics, and Semantic Web technologies, with applications in healthcare, criminal justice, and competitive gaming. He leads projects in RoboCup robotics competitions and has developed novel AI tools for cognitive testing (e.g., LASSI-BC) and digital health agents for behavioral interventions. Key research areas include ontology engineering (e.g., Drug Target Ontology, BioAssay Ontology), human-robot interaction, and multi-agent systems. His work integrates symbolic and sub-symbolic AI methods to address real-world challenges such as algorithmic fairness in facial recognition systems and dynamic motion control in humanoid robots. He has secured funding from NIH, NSF, and industry partners, and serves on editorial boards for advanced robotics and AI journals.

• Artificial Intelligence
• Robotics
• Semantic Web
• +۵ مورد دیگر

Dr. Emmanuele Tidoni is a Lecturer at the University of Leeds, where he leads the Human Technology Laboratory (https://www.hutechlab.com). Previously, he held positions at the University of Hull (2019–2023). His research focuses on the cognitive and neural mechanisms underlying the perception of social agents such as humans and robots. He holds a BA and MSc from the University of Bologna and a PhD from Sapienza University of Rome. Education: Bachelor’s Degree: University of Bologna Master’s Degree: University of Bologna PhD: Sapienza University of Rome Research Interests: Neural mechanisms of social perception Human-robot interaction Action observation and prediction Embodied cognition His work integrates experimental psychology, neuroscience, and robotics to explore how humans perceive and interact with artificial agents. Key Research Themes: Role of sensorimotor networks in social cognition Impact of body form and gaze cues on action prediction Neural correlates of agency and error processing Labs & Groups: Principal Investigator: Human Technology Laboratory (HUTech Lab) Affiliated with the Brain and Behaviour Laboratory and the Perception, Action, Cognition group

• Social Neuroscience
• Social Robotics
• Cognitive Neuroscience
• +۳ مورد دیگر

Iman Soltani is an Assistant Professor at the University of California, Davis, jointly appointed in Mechanical and Aerospace Engineering and Electrical and Computer Engineering, and affiliated with the Institute of Transportation Studies. His research integrates machine learning, control systems, and robotics across scales—from nanoscale materials manipulation to autonomous driving and medical device development. He leads the Soltani Lab, focusing on interdisciplinary projects involving computer science, electrical, and mechanical engineering principles. Key research interests include automated systems, anomaly detection, robotic manipulation, and AI-driven navigation. His work bridges theoretical advancements with experimental innovations, such as the Krysalis Hand and Cardreamer platforms. Awards include the MIT Carl G. Sontheimer Award and National Instruments Engineering Impact Award. Recent publications span autonomous infrastructure surveying, bimanual robotic manipulation, and marine navigation systems. Collaborations span academia and industry, including Ford Greenfield Labs. His lab is located in the Mechanical & Aerospace Engineering building at UC Davis.

• Machine Learning
• Robotics
• Automation
• +۵ مورد دیگر

Xue Bin Peng is an Assistant Professor at Simon Fraser University and a Research Scientist at NVIDIA. He holds a Ph.D. from UC Berkeley (advised by Sergey Levine and Pieter Abbeel) and an M.Sc. from the University of British Columbia (advised by Michiel van de Panne). His research focuses on the intersection of computer graphics and machine learning, particularly reinforcement learning for motion control of simulated characters. Prior roles include internships at Sony, Google Brain, OpenAI, Adobe Research, Disney Research, Microsoft, and Capcom. Key research areas include physically-based character animation, motion imitation, and sim-to-real robotic control. His work emphasizes scalable methods for generating diverse, adaptive, and realistic motions, often leveraging diffusion models, adversarial learning, and multi-task frameworks. Notable contributions include DeepMimic , AMP , and CLoSD , which address challenges in motion control and style transfer. He has received awards such as the Best Paper Honourable Mention (SIGGRAPH 2023) and Best Paper Award (RSS 2020). His publications span top venues like ACM SIGGRAPH, ICLR, NeurIPS, and ICRA, with a focus on advancing reinforcement learning techniques for robotics and animation. Collaborations include NVIDIA, UBC, and institutions like Max Planck Institute and Carnegie Mellon University.

• Computer Graphics
• Machine Learning
• Reinforcement Learning
• +۳ مورد دیگر

Monroe Kennedy is an Assistant Professor in the Department of Mechanical Engineering, leading the Assistive Robotics and Manipulation Lab (ARMLab). His research focuses on developing robots that collaborate effectively with humans, emphasizing tactile sensing, prosthetic interfaces, and human-robot safety. Key areas include assistive technologies, sensor design, and control systems for dexterous manipulation. Research Interests: Kennedy’s work spans robotics, human-robot interaction, and assistive technologies. His lab explores tactile sensors for precise manipulation, safety frameworks for caregiving robots, and prosthetic systems with haptic feedback. He also advocates for equity in robotics through initiatives like Black in Robotics . Key Trends in Publications: Recent work emphasizes optical tactile sensing (e.g., TensorTouch ), shared autonomy in human-robot tasks ( Diffusion-SAFE ), and safety protocols for caregiving robotics. His 2024 papers also highlight augmented reality interfaces ( ProACT ) and Gaussian splatting for 3D reconstruction. Labs/Teams: Directly affiliated with the ARMLab, which integrates mechanical engineering, AI, and human-centered design to advance assistive robotics solutions.

• Robotics
• Human-Robot Interaction
• Assistive Technologies
• +۳ مورد دیگر

Professor Trevor Darrell is a faculty member in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. He leads research in computer vision, machine learning, and robotics, focusing on algorithms for visual recognition and perception-based interfaces. His affiliations include the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Center for Responsible, Decentralized Intelligence (RDI), and the International Computer Science Institute (ICSI). Education: PhD, MIT (1996) BSE in Computer Science, University of Pennsylvania (1988) Research Interests: Professor Darrell’s work spans Artificial Intelligence , Computer Vision , Robotics , and Multimodal Learning . His recent efforts emphasize vision-language models, embodied AI, and ethical AI frameworks for healthcare and robotics. Notable Contributions: His articles in 2025 highlight advancements in multimodal generation, humanoid control, and model alignment. Trends include leveraging vision-language integration for robotics tasks and addressing AI bias and hallucination. Awards: ICML Test of Time Award (2024) ACM SIGMM Test of Time Paper Award (2024) CVPR Longuet-Higgins Prize (2024) Labs & Collaborations: Leads BAIR and RDI, advancing responsible AI and geospatial analysis through initiatives like Berkeley Deep Drive and the CITRIS People and Robots (CPAR) program.

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Borivoje Nikolic is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. from UC Davis (1999) and academic degrees from the University of Belgrade (Dipl.Ing. 1992, M.Sc. 1994). His research focuses on integrated circuits, VLSI design, and energy-efficient electronics, with contributions to analog/digital circuit design, signal processing algorithms, and wireless communication systems. Notable roles include Technical Program Chair for the 2022 Symposium on VLSI Technology and Circuits, and General Chair for the 2024 IEEE Symposium on VLSI Technology and Circuits. He was an IEEE Distinguished Lecturer (2014–2015). His work has led to over 100 publications in top-tier venues like ISSCC, IEEE Journal of Solid-State Circuits, and IEEE Transactions on Circuits and Systems. Research interests span: VLSI Design Automation and Generators Low-Power and Energy-Efficient Circuits Wireless Communication Systems and MIMO Architectures Robotics and Heterogeneous SoC Design His publications highlight innovations in clock generators, data converters, and hardware-software co-design for AI/ML acceleration. Awards include the NSF CAREER Award (2003), IEEE Fellow (2017), and the 2024 SSCS Innovative Education Award.

• Integrated Circuits (VLSI)
• Computer Architecture
• Signal Processing
• +۳ مورد دیگر

Juan Carlos Gonzalez Victores is an Associate Professor at the Department of Systems Engineering and Automation, Universidad Carlos III de Madrid (UC3M), actively leading research in the Robotics Lab. His work spans multiple disciplines including Computer Science, Medicine, and Robotics and Industrial Informatics. Research interests focus on: Human-Robot Interaction with applications in neurorehabilitation and accessibility Autonomous Systems for smart cities and underground infrastructure inspection Deep Learning and Reinforcement Learning for robotic manipulation Medical Robotics with emphasis on surgical and diagnostic applications Recent publications highlight trends in: Garment-agnostic manipulation techniques Neurorehabilitation systems using synthetic data Human-like sketching via Deep Q-Learning Safety analysis of AI-human organizational interfaces Contact: juancarlos.gonzalez@uc3m.es | jcgvicto@ing.uc3m.es

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۶ مورد دیگر

Matthew Pan is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University and a core member of the Ingenuity Labs Research Institute. He leads the Machine Intelligence and Human-Robot Interaction Laboratory (MItHRIL), focusing on human-robot interaction, haptics, and virtual/augmented reality technologies for practical applications in assistive robotics and entertainment. His educational background includes: PhD and MASc in Mechanical Engineering, University of British Columbia BASc in Mechatronics Engineering, University of Waterloo Dr. Pan's research centers on human-robot interaction , haptics , and virtual/augmented reality , with applications in assistive technologies and human augmentation. His work explores affective computing , psychophysiological responses , and haptic feedback systems to enhance natural human-robot collaboration. Key projects include robotic handover systems, mixed reality interfaces, and social robotics for Disney Parks. Analysis of his 15 most recent publications reveals a strong focus on robotic handovers , human search/approach , and haptic proxies in virtual reality . His work integrates machine learning for adaptive robot behaviors and studies social cues (gaze, touch, gestures) to improve interaction fluency. Trends indicate growing emphasis on real-world deployment of social robotics in assistive and entertainment contexts. Dr. Pan actively advises graduate students in the MItHRIL laboratory and has led industry projects at Disney Research, developing animatronic technologies and interactive guest experiences for Walt Disney Imagineering and Disney Parks. The MItHRIL laboratory serves as an interdisciplinary hub for robotics research, combining expertise in mechanical engineering, computer science, and human factors to advance intelligent systems for human augmentation and collaborative robotics.

• Human-Robot Interaction
• Haptics
• Virtual Reality
• +۶ مورد دیگر

Alonso Marco-Valle is a Senior Robotics/AI Engineer at Figure AI, where he develops control algorithms for humanoid robots and machine learning systems. Previously, he held a Postdoctoral Research Fellow (Research Fellow) position at the Hybrid Systems Lab at the University of California Berkeley, focusing on safe autonomous systems with out-of-distribution monitoring. PhD : Robotics and Machine Learning, Max Planck Institute for Intelligent Systems and University of Tübingen, Germany MSc : Artificial Intelligence, Polytechnical University of Catalonia, Spain His research spans robotics, machine learning, and control theory, with specific interests in Bayesian optimization, Gaussian processes, model-based reinforcement learning, and safe learning frameworks. He has contributed to out-of-distribution detection, probabilistic dynamical models, and failure-aware optimization algorithms that balance exploration with risk. His recent publications focus on data-efficient learning, safety in autonomous systems, and physics-informed probabilistic modeling. Awards include the Rafael del Pino Excellence Fellowship, a highly competitive recognition for Spanish researchers. Collaborations include work with leading researchers such as Prof. Claire J. Tomlin (UC Berkeley), Prof. Sebastian Trimpe (Max Planck), Prof. José Miguel Hernández-Lobato (Cambridge), and Prof. Philipp Hennig (Max Planck), with research stays at institutions like Stanford, NASA ULI, and Meta AI.

• Robotics
• Machine Learning
• Control Theory
• +۵ مورد دیگر