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Ultra-thin Joint Torque Sensor with Enhanced Sensitivity for Robotic Application
2020 IEEE International Conference on Robotics and Automation - ICRA 2020 - Contribute
A Class of Co-Design Problems with Cyclic Constraints and Their Solution
A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade
Motion Discontinuity-Robust Controller for Steerable Mobile Robots
Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing
An evolutionary algorithm for online, resource constrained, multi-vehicle sensing mission planning
On the Problem of Moving Objects with Autonomous Robots: a Unifying High-Level Planning Approach
Using a compliant, unactuated tail to manipulate objects
A Method for Derivation of Robot Task-Frame Control Authority from Repeated Sensory Observations
Learning Depth-aware Deep Representations for Robotic Perception
IEEE Robotics and Automation Letters
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks
Dr. Yuxiang Sun, HK PolyU, 孫宇翔, 香港理工大學
Efficiently Computable Constrained Optimal Feedback Controllers
IEEE Robotics & Automation Magazine - June 2019 - 117
Cesar Cadena - Publications
On the Implementation of Behavior Trees in Robotics
IEEE Robotics & Automation Magazine template - For Authors
Micro Elastic Pouch Motors: Elastically Deformable and Miniaturized Soft Actuators Using Liquid-to-Gas Phase Change
Publications – Haimin Hu
Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills
Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network
Spine-Inspired Continuum Soft Exos eleton for Stoop Lifting Assistance
Planning Dynamically Feasible Trajectories for Quadrotors using Safe Flight Corridors in 3-D Complex Environments
Lightweight Whiskers for Contact, Pre-Contact, and Fluid Velocity Sensing | IEEE Journals & Magazine | IEEE Xplore
Assessment of Robotic Picking Operations Using a 6 axis Force/Torque Sensor
A Unified Bi-directional Model for Natural and Artificial Trust in Human- Robot Collaboration
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