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Kai-Tai Song

6 accepted papers

2025

Energy-Efficient Obstacle Avoidance via Iterative B-Spline Optimization for a Mobile Manipulator in Dynamic Environments

IROS 2025

This paper proposes an energy-efficient collision avoidance system for an autonomous mobile manipulator (AMM) in dynamic environments. The system enables safe obstacle avoidance and energy-efficient path generation. A B-Spline-based path optimization algorithm is developed, incorporating an energy c

Cited by 0SourceScholar
2024

HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes using Deep Reinforcement Learning

ICRA 2024poster

Robotic autonomous grasp requires the system to perform multiple functions such as gripper and robot control, making it a task with hybrid output nature. Existing methods based on closed-loop deep reinforcement learning rely on external models for termination evaluation. To achieve more effective gr…

Cited by 0SourceScholar
2024

Human-to-Robot Handover Control of an Autonomous Mobile Robot Based on Hand-Masked Object Pose Estimation

RA-L 2024

This letter presents a human-to-robot handover design for an Autonomous Mobile Robot (AMR). The developed control system enables the AMR to navigate to a specific person and grasp the object that the person wants to handover. This letter proposes a motion planning algorithm for grasping an unseen ob

Cited by 3SourceScholar
2021

Real-time Obstacle Avoidance with a Virtual Torque Approach for a Robotic Tool in the End Effector

ICRA 2021poster

This paper proposes a real-time obstacle avoidance control scheme for a 6-DOF manipulator with a tool in the end effector. The system consists of environment monitoring, robot-tool segmentation and collision-free motion planning of the manipulator. A Kinect V2 RGB-D camera is used to track obstacles…

Cited by 11SourceScholar
2018

Collision-Free Motion Planning for Human-Robot Collaborative Safety Under Cartesian Constraint

ICRA 2018poster

This paper presents a real-time motion planning and control design of a robotic arm for human-robot collaborative safety. A novel collision-free motion planning method is proposed not only to keep robot body from colliding with objects but also preserve the execution of robot's original task under t…

Cited by 103SourceScholar