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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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mitigation. Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability
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to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected to assume duty in
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locomotion, manipulation, model-based control, MPC, reinforcement learning or classical control approaches when relevant. Integrate robotic subsystems across actuators, embedded devices, sensors
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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, please view https://www.ntu.edu.sg/cartin . We are seeking a highly motivated and skilled Research Fellow with a strong background in robotics and control to join our project on humanoid robot locomotion
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: collaborate with leading academic and industrial partners; work with state-of-the-art agricultural robots, advanced sensors, and AI systems; have access to industrial-scale glasshouse facilities and research
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. Agricultural robots, drones, IoT sensors, and smart farming platforms are transforming crop production by improving efficiency, reducing labour, and supporting more sustainable practices. However, these