activity
20212026
most citedPaCo: Parameter-Compositional Multi-Task Reinforcement Learning

7 citations · 20 across the 22 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.RO2023★ 1 cited

Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection

Xinghao Zhu, Devesh K. Jha, Diego Romeres +3

Automating the assembly of objects from their parts is a complex problem with innumerable applications in manufacturing, maintenance, and recycling. Unlike existing research, which…

cs.RO2023

Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks

Lingfeng Sun, Devesh K. Jha, Chiori Hori +5

Designing robotic agents to perform open vocabulary tasks has been the long-standing goal in robotics and AI. Recently, Large Language Models (LLMs) have achieved impressive result…

cs.RO2023

Control of Soft Pneumatic Actuators with Approximated Dynamical Modeling

Wu-Te Yang, Burak Kurkcu, Motohiro Hirao +5

This paper introduces a full system modeling strategy for a syringe pump and soft pneumatic actuators(SPAs). The soft actuator is conceptualized as a beam structure, utilizing a se…

cs.RO2023★ 2 cited

Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning

Xiang Zhang, Changhao Wang, Lingfeng Sun +3

Learning contact-rich manipulation skills is essential. Such skills require the robots to interact with the environment with feasible manipulation trajectories and suitable complia…

cs.RO2023★ 1 cited

Human-oriented Representation Learning for Robotic Manipulation

Mingxiao Huo, Mingyu Ding, Chenfeng Xu +6

Humans inherently possess generalizable visual representations that empower them to efficiently explore and interact with the environments in manipulation tasks. We advocate that s…

cs.RO2023

Long-Term Dynamic Window Approach for Kinodynamic Local Planning in Static and Crowd Environments

Zhiqiang Jian, Songyi Zhang, Lingfeng Sun +3

Local planning for a differential wheeled robot is designed to generate kinodynamic feasible actions that guide the robot to a goal position along the navigation path while avoidin…

cs.RO2023

Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic Flow

Zhiqiang Jian, Songyi Zhang, Lingfeng Sun +3

Trajectory planning is crucial for the safe driving of autonomous vehicles in highway traffic flow. Currently, some advanced trajectory planning methods utilize spatio-temporal vox…

cs.RO2023★ 3 cited

Distributed Multi-agent Interaction Generation with Imagined Potential Games

Lingfeng Sun, Pin-Yun Hung, Changhao Wang +2

Interactive behavior modeling of multiple agents is an essential challenge in simulation, especially in scenarios when agents need to avoid collisions and cooperate at the same tim…

cs.RO2023

Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework

Lingfeng Sun, Haichao Zhang, Wei Xu +1

In this work, we investigate the potential of improving multi-task training and also leveraging it for transferring in the reinforcement learning setting. We identify several chall…

cs.RO2023★ 2 cited

A Simple Approach for General Task-Oriented Picking using Placing constraints

Jen-Wei Wang, Lingfeng Sun, Xinghao Zhu +2

Pick-and-place is an important manipulation task in domestic or manufacturing applications. There exist many works focusing on grasp detection with high picking success rate but la…