2025 IROS half-day workshop
Intelligent Robotics: Harnessing Embodied Intelligence and Learning for Next Generation Manipulation(teleoperation)
Oct 20th 2025 (Afternoon)
Room 103B
Overview:
This workshop explores how embodied intelligence, multi-modal perception, and foundation models (e.g., LLMs, VLMs) are advancing robot manipulation in dynamic, human-centred environments. We will examine how intelligent robots learn and generalise complex skills by integrating classical control with machine learning, enabling adaptive perception, decision-making, and collaboration. Applications in healthcare, manufacturing, and service robotics will be discussed through both theoretical and practical lenses.
Aim & Scope:
This workshop aims to advance the understanding of embodied intelligence and learning-based manipulation by intelligent robots. We focus on integrating multi-modal perception—including tactile sensing, visual inputs, and language models—for dexterous, adaptable robotic behavior in complex environments. Particular attention will be given to the interplay between reinforcement learning, imitation learning, and foundation models such as LLMs and VLMs. The workshop also seeks to bridge the gap between academic research and practical deployment, fostering collaboration across robotics, AI, and human-robot interaction domains. Through these efforts, we aim to highlight emerging trends, unify classical control theory with modern learning techniques, and promote cross-disciplinary synergy for the next generation of robot manipulation systems.
Submission:
Organizers:
Weiyong Si, Lecturer
Affiliation: University of Essex, UK
Email: w.si@essex.ac.uk
Website: Link
Kunpeng Yao, Lecturer
Affiliation: University of Leeds, UK
Email: K.Yao@leeds.ac.uk
Website: Link
Miao Li, Professor
Affiliation: Wuhan University, China
Email: miao.li@whu.edu.cn
Website: Link
Elena De Momi, Professor
Affiliation: Politecnico di Milano, Italy
Email: elena.demomi@polimi.it
Website: Link
Chenguang Yang, Professor
Affiliation: University of Liverpool, UK
Email: Chenguang.Yang@liverpool.ac.uk
Website: Link
Speakers:
Prof. Gordon Cheng
Email: gordon@tum.de
Talk Title: Purposive-Learning for Humanoid Robots
Prof. Dongheui Lee
Email: dongheui.lee@tuwien.ac.at
Talk Title: AI-based autonomous task planning and robot teaching solution for complex manufacturing assembly
Prof. Josie Hughes
Email: josie.hughes@epfl.ch
Talk Title: Building manipulators with embodied intelligence
Prof. Kensuke Harada
Email: harada@sys.es.osaka-u.ac.jp
Talk Title: Robotic Manipulation Research Aiming for Industrial Applications
Prof. Jian Huang
Email: huang_jan@mail.hust.edu.cn
Talk Title: Deformable Object Manipulation based on Demonstration Enhanced Deep Reinforcement Learning
Prof. Fei Chen
Email: feichen@cuhk.edu.hk
Talk Title: Cross embodiment learning for humanoid robots whole-body loco-manipulation
Prof. Hao Dong
Email: hao.dong@pku.edu.cn
Talk Title: General Robotic Manipulation via Spatial Constraints
Prof. Luka Peternel
Email: l.peternel@tudelft.nl
Talk Title: Humans in the control loop of robotic systems for real-time control of complex physical interactions
Prof. Pietro Falco
Email: pietro.falco@unipd.it
Talk Title: Learning torque-control algorithms for contact-rich manipulation