Organizers

Ziwei Wang is a Lecturer in Robotics at Lancaster University and a member of the Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA). He received the Ph.D. degree from the Department of Automation at Tsinghua University, China. Prior to joining Lancaster University, he worked as a Research Associate with the Human Robotics Group in the Department of Bioengineering at Imperial College London, U.K. He is also a Visiting Scholar at King’s College London, UK. His main research interests and expertise span a broad range of areas in teleoperation systems, human sensorimotor augmentation, and human-robot interaction, aiming at enhancing human sensorimotor capability and overall robotic system performance.

Carlo Tiseo is an Assistant Professor in Engineering in the School of Engineering and Informatics at the University of Sussex, and member of the university centres of excellence Sussex Neuroscience and Sussex AI. He holds a Laurea (BSc) and a Laurea Magistrale (MSc) in Biomedical Engineering from the Università Campus Bio-Medico di Roma (IT) . He obtained his PhD degree from School of Mechanical and Aerospace Engineering at the Nanyang Technological University (SG) in 2018. Subsequently, he has been a Research Associate at the Rehabilitation Research Institute of Singapore at the Nanyang Technological University (SG) and the Edinburgh Centre for Robotics in the School of Informatics at University of Edinburgh (UK). His research is about robot design and interaction control applied to human-robot collaboration, teleoperation, legged locomotion, and computational neuroscience. He has successfully deployed his research both in industrial and medical applications. Currently, he is focusing on enhancing the robustness of robots in unstructured environments by removing their dependency on accurate dynamic models.

Dr. Parag Khanna is a postdoctoral researcher at the Division of Robotics, Perception, and Learning (RPL) at KTH Royal Institute of Technology, Sweden. As a collaborative roboticist, his research combines insights from human behavior, cognitive science, and robotics to design intuitive and explainable robotic systems. He received his PhD from KTH in 2025, with a focus on human-robot interaction (HRI)—specifically, developing adaptive techniques for seamless handovers between robots and humans. His key research topics include physical and social HRI, using data-driven and human-inspired robot strategies for natural human-robot collaboration, and using non-contact signals to understand human intent. He also explores explanation strategies that help robots recover from and communicate about failures. He is passionate about bringing robotics from the lab to everyday life, prioritizing adaptive, user-centered solutions that make robots more effective, safer, and easier to work with in real-world environments.

Angela Faragasso has been working in different fields of robotics applications, such as humanoids, rescue and medical. What has always been a constant in her research, is the use of image processing algorithms to perform autonomous control or to understand properties of the object in the environment, i.e. stiffness, in real-time.

Elmira Yadollahi is an assistant professor in computer science at the Department of Computing and Communications at Lancaster University, United Kingdom. Her research is focused on Human-Robot Interaction, explainability in robotics, interaction design, and child-robot interaction. Previously, she was a postdoctoral research fellow at KTH Royal Institute of Technology in the division of Robot, Perception and Learning (RPL). She is an experienced roboticist with a demonstrated history of working with robots in education, developing technologies for children, and developing cognitive models for robots. Proficient in Agent Modeling, Human-Robot Interaction, Robot Behavioral Modeling, and Statistical Analysis. Skilled in ROS, Python, QML, C#, Unity, and MATLAB. She holds a PhD in Computer Science and Robotics from Instituto Superior Tecnico (IST) in Portugal and Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, respectively. Her research was focused on developing cognitive models for embodied agents, such as robots for social interaction and collaborative tasks with humans, and making machines more explainable. She worked on generating a decision-making model of perspective-taking that could help robots make informed decisions while collaborating with humans. Additionally, She holds a BSc and MSc degree in Mechanical Engineering from Iran (Sharif University of Technology) and South Korea (KAIST).

Prof Eiichi Yoshida (Fellow, IEEE) received the M.E. and Ph.D. degrees in precision machinery engineering from the Graduate School of Engineering, the University of Tokyo, Tokyo, Japan, in 1996., He then joined the former Mechanical Engineering Laboratory, later in 2001 reorganized as National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan. He was a Co-Director of AIST-CNRS Joint Robotics Laboratory (JRL), LAAS- CNRS, Toulouse, France, from 2004 to 2008, and with AIST, Tsukuba, Japan, from 2009 to 2021. Since 2022, he has been a Professor with the Department of Applied Electronics, Faculty of Advanced Engineering, Tokyo University of Science, Tokyo, Japan. His research interests include robot task and motion planning, human modeling, humanoid robotics, and advanced logistics technology., Prof. Yoshida is currently a member of RSJ, SICE, and JSME and is also a Senior Editor for the IEEE Transactions on Robotics.

Bin Liang (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees in control engineering from the Honors College, Northwestern Polytechnical University, Xi’an, China, in 1989 and 1991, respectively, and the Ph.D. degree in control engineering from the Department of Precision Instrument, Tsinghua University, Beijing, China, in 1994., From 1994 to 2003, he held positions of Post-Doctoral Researcher, Associate Researcher, and Researcher with the China Academy of Space Technology (CAST), Beijing. From 2003 to 2007, he held the positions of Researcher and Assistant Chief Engineer with the China Aerospace Science and Technology Corporation, Beijing. He is currently a Professor with the Research Center for Navigation and Control, Department of Automation, Tsinghua University. His research interests include modelling and control of intelligent robotic systems, teleoperation, and intelligent sensing technology.