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Overview
Robotic systems are moving beyond structured industrial environments into open, human-centered, and physically dynamic spaces. To operate reliably in these settings, next-generation robots must do more than perceive, plan, or control in isolation. They must integrate cognition, multimodal sensing, and embodied action into a unified intelligence stack. This workshop focuses on the convergence of three pillars of future robotics: cognitive intelligence for reasoning, planning, memory, and decision-making; sensing intelligence for multimodal perception, proprioception, tactile understanding, and real-time scene interpretation; and embodied intelligence for learning, control, interaction, and physical adaptation. By bringing together researchers working on robot learning, perception, control, human–robot interaction, foundation models, embodied AI, and robotic system integration, the workshop aims to identify the core principles, architectures, and evaluation methods needed to build robots that can understand the world, act through their bodies, and adapt safely in real-world environments.
Organizers:
Invited Speakers:
Workshop Program
We invite submissions presenting original research, late-breaking results, work-in-progress studies, system demonstrations, and perspective papers related to cognitive, sensing, and embodied intelligence for robotics. The workshop is intended as a high-impact venue for open discussion, technical exchange, and forward-looking debate. Submissions will be evaluated based on technical quality, relevance to the workshop theme, clarity of presentation, and potential to stimulate discussion.
Topics of Interest
Topics of interest include, but are not limited to:
Cognitive Intelligence for Robotics
Cognitive architectures for autonomous and interactive robots
Robot reasoning, task planning, memory, and decision-making
Foundation models, world models, vision-language-action models, and robot policy models
Knowledge representation, semantic mapping, and scene understanding
Uncertainty-aware, risk-aware, and context-aware robot cognition
Continual learning, lifelong adaptation, and robot self-improvement
Sensing Intelligence and Multimodal Perception
Multimodal sensor fusion for robotics
Visual, tactile, auditory, force, torque, inertial, and proprioceptive perception
Active perception and sensorimotor exploration
Tactile intelligence, haptic perception, and contact understanding
Event-based sensing, neuromorphic perception, and low-latency sensing pipelines
Perception under uncertainty, occlusion, clutter, deformation, and dynamic environments
Embodied Learning, Control, and Interaction
Embodied AI and sensorimotor learning
Imitation learning, reinforcement learning, and self-supervised learning for robots
Whole-body control, dexterous manipulation, locomotion, and mobile manipulation
Contact-rich manipulation and physical interaction
Morphology-aware intelligence and hardware–software co-design
Sim-to-real transfer, digital twins, and real-world policy deployment
Human-Centered and Safe Robotic Systems
Human–robot interaction and collaboration
Learning from human feedback, demonstrations, and shared autonomy
Assistive, wearable, rehabilitation, and healthcare robotics
Safety-aware embodied decision-making and interaction
Explainable and trustworthy embodied robot behavior
Ethical, social, and usability considerations in next-generation robot systems
Invited Speakers
Invited Speakers
Invited speakers are asked to provide the following information for the workshop program:
Talk title
Short abstract, 100–200 words
Short biography, 100–150 words
Speaker photo
Affiliation and optional personal website link
The information should be sent to the email address yunus.schmirander@univ-evry.fr. A full paper is not required for invited speakers.
Important Dates
Workshop: July 20th 2026
ICARM Conference: July 21st - 23rd 2026
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