activity
20212024
most citedMulti-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving

32 citations · 79 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.RO2023★ 1 cited

RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation

Boshi An, Yiran Geng, Kai Chen +3

Robotic manipulation requires accurate perception of the environment, which poses a significant challenge due to its inherent complexity and constantly changing nature. In this con…

cs.CV2023

Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries

Jiaqi Liu, Yonghao Long, Kai Chen +3

Accurate segmentation of surgical instrument tip is an important task for enabling downstream applications in robotic surgery, such as surgical skill assessment, tool-tissue intera…

cs.CV2023

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

Jun Zhou, Kai Chen, Linlin Xu +2

One critical challenge in 6D object pose estimation from a single RGBD image is efficient integration of two different modalities, i.e., color and depth. In this work, we tackle th…

cs.RO2023

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

Tao Huang, Kai Chen, Wang Wei +3

Reinforcement learning is still struggling with solving long-horizon surgical robot tasks which involve multiple steps over an extended duration of time due to the policy explorati…

cs.CV2023★ 29 cited

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Youquan Liu, Lingdong Kong, Jun Cen +5

Recent advancements in vision foundation models (VFMs) have opened up new possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a novel fram…

cs.RO2023★ 1 cited

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Tao Huang, Kai Chen, Bin Li +2

Task automation of surgical robot has the potentials to improve surgical efficiency. Recent reinforcement learning (RL) based approaches provide scalable solutions to surgical auto…