Track 1 — Embodied Perception and Sensing

· Visual perception for real-time robot manipulation

· Tactile and haptic sensing for dexterous grasping

· Multimodal sensor fusion in dynamic environments

· Active perception and attention-driven sensing

· Egocentric scene understanding and affordance detection

Track 4 — Cognitive Architectures and Decision Making

· Memory-augmented reasoning for long-horizon tasks

· Hierarchical planning and subgoal decomposition

· Affordance-based task and motion planning

· Decision-making under uncertainty and partial observability

· Neuro-symbolic approaches to embodied reasoning

Track 2 — Learning for Embodied Intelligence

· Deep reinforcement learning for robot control

· Imitation learning from human demonstrations

· Few-shot and meta-learning for adaptive behaviors

· Sim-to-real transfer and domain randomization

· World models for predictive robot learning

Track 5 — Embodied Control and Motion Generation

· Whole-body control for compliant and safe manipulation

· Locomotion and navigation in unstructured terrains

· Contact-rich manipulation and force control

· Real-time trajectory optimization and model predictive control

· Bimanual and multi-arm coordination strategies

Track 3 — Human-Robot Interaction and Collaboration

· Intuitive communication via speech, gesture, and gaze

· Shared autonomy and adjustable robot assistance

· Socially aware navigation and proxemics

· Human intention recognition and proactive response

· Trust calibration and explainable robot behavior

Track 6 — Applications, Safety, and Trust

· Assistive and service robots in home and healthcare settings

· Industrial embodied agents for flexible manufacturing

· Safe human-robot collaboration and collision avoidance

· Explainable AI for transparent robot decision-making

· Ethical considerations and value alignment in embodied systems