DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control

MF Karim, S Bollimuntha, MS Hashmi, A Das… - arXiv preprint arXiv …, 2024 - arxiv.org
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling
robots to perform tasks that require the coordinated use of two arms, is essential for complex …

Survey on Recent Advances in Planning and Control for Collaborative Robotics

YJ Pan, S Buchanan, Q Chen, L Wan… - IEEJ Journal of …, 2024 - jstage.jst.go.jp
Collaborative robots (COBOTs) can efficiently assist humans in interactions with robots and
the environment when carrying out different tasks. They take advantage of the flexibility and …

Robotic Motion Planning Based on Deep Reinforcement Learning and Artificial Neural Networks

H Liu, X Li, M Dong, Y Gu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Although robotic trajectory generation problem has been extensively investigated, existing
solutions are almost customized to specific robot geometry, and generalized schemes are …

Variation-Robust Few-Shot 3D Affordance Segmentation for Robotic Manipulation

D Hu, T Sun, P Xie, S Chen, H Yang… - IEEE Robotics and …, 2025 - ieeexplore.ieee.org
Traditional affordance segmentation on 3D point cloud objects requires massive amounts of
annotated training data and can only make predictions within predefined classes and …

AsymDex: Leveraging Asymmetry and Relative Motion in Learning Bimanual Dexterity

Z Yang, Y Han, H Ravichandar - arXiv preprint arXiv:2411.13020, 2024 - arxiv.org
We present Asymmetric Dexterity (AsymDex), a novel reinforcement learning (RL)
framework that can efficiently learn asymmetric bimanual skills for multi-fingered hands …

A Learning System for Deformable Object Cooperative Manipulation

D Shi, H Hu, C Yang, Z Lu, Q Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Dynamic motion primitives (DMPs) have been widely used in robotics and automation
systems because of their rapid deployment capability. Previous research has concentrated …

Learning Dual-Arm Push and Grasp Synergy in Dense Clutter

Y Wang, H Kasaei - arXiv preprint arXiv:2412.04052, 2024 - arxiv.org
Robotic grasping in densely cluttered environments is challenging due to scarce collision-
free grasp affordances. Non-prehensile actions can increase feasible grasps in cluttered …

Distributed Motion Control of Multiple Mobile Manipulator System with Disturbance and Communication Delay

W Liu, M Ren, K Song, MY Wang, Z Xiong - arXiv preprint arXiv …, 2024 - arxiv.org
In real-world object manipulation scenarios, multiple mobile manipulator systems may suffer
from disturbances and asynchrony, leading to excessive interaction forces and causing …

Enhancing Motion Planning Efficiency in Dynamic Environments Through Advanced Algorithms for Mobile Robots

NÜ Akmandor - 2024 - search.proquest.com
Robots are on the verge of becoming integral components of our domestic environments as
personal assistants. Although their present functions are confined to specific tasks within …

디지털농업을위한양팔농업용로봇의기술개발동향및적용분야

조유성, 박용현, 김창조, 손형일 - 제어로봇시스템학회지, 2024 - dbpia.co.kr
이 논문에서 디지털 농업을 위한 양팔 농업용 로봇의 기술 동향과 적용 분야를 문헌 검토한다.
양팔 로봇 시스템은 비정형적인 농업 환경에서 인간의 양팔 협동 동작을 모방하여 복잡한 …