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·Robot Perception, Localization, and Navigation
·Manipulation, Grasping, and Dexterous Control
·Motion Planning and Trajectory Optimization
·Multi-Robot Collaboration and Swarm Intelligence
·Human-Robot Interaction (HRI) and Collaborative Robotics
·Soft Robotics and Bio-Inspired Robot Design
·Legged, Wheeled, and Aerial Robot Systems
·Robot Learning from Demonstration (LfD) and Imitation Learning
·Reinforcement Learning and Adaptive Control for Robots
·Autonomous Exploration and Mapping in Unknown Environments
·Robot Safety, Fault Diagnosis, and Resilient Control
·Industrial Robotics, Service Robotics, and Field Robotics Applications
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·Embodied Perception, Reasoning, and Decision-Making
·Vision-Language-Action (VLA) Models for Embodied AI
·Foundation Models and Large Language Models for Robotics
·World Models, Simulation, and Physics-Based Reasoning
·Sim-to-Real Transfer and Domain Adaptation
·Robot Skill Acquisition, Generalization, and Compositionality
·Affordance Learning and Object Manipulation Understanding
·Cognitive Architecture and Active Perception
·Interactive Learning and Human-in-the-Loop AI
·Commonsense Reasoning and Long-Horizon Task Planning
·Embodied AI in Virtual Environments and Digital Twins
·Ethical, Safety, and Social Implications of Embodied AI
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