A hierarchical long short term safety framework for efficient robot manipulation under uncertainty-Reference-Cited by-同舟云学术

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A hierarchical long short term safety framework for efficient robot manipulation under uncertainty

Published:2023-08 Issue: Volume:82 Page:102522
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

He Suqin^ORCID,Zhao Weiye,Hu Chuxiong,Zhu Yu,Liu Changliu

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference57 articles.

1. A Survey of Methods for Safe Human-Robot Interaction;Lasota,2017

2. Deadlock analysis and resolution for multi-robot systems;Grover,2021

3. Control barrier function based quadratic programs with application to adaptive cruise control;Ames,2014

4. FaSTrack: A modular framework for fast and guaranteed safe motion planning;Herbert,2017

5. Fail-safe motion planning of autonomous vehicles;Magdici,2016

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1. An optimal and efficient hierarchical motion planner for industrial robots with complex constraints;Computers and Electrical Engineering;2024-11

2. “Reinforcement learning particle swarm optimization based trajectory planning of autonomous ground vehicle using 2D LiDAR point cloud”;Robotics and Autonomous Systems;2024-08

3. Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments;2024 American Control Conference (ACC);2024-07-10

4. Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Optimization-based non-equidistant toolpath planning for robotic additive manufacturing with non-underfill orientation;Robotics and Computer-Integrated Manufacturing;2023-12

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