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Yuheng Zhi

8 accepted papers

2026

SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning

ICRA 2026poster

Surgical automation holds immense potential to improve the outcome and accessibility of surgery. Recent studies use reinforcement learning to automate various surgical tasks. However, these policies are developed independently, and their reusability is limited when applied to other scenarios, making…

2025

KineDepth: Utilizing Robot Kinematics for Online Metric Depth Estimation

IROS 2025

Depth perception is essential for a robot’s spatial and geometric understanding of its environment, with many tasks traditionally relying on hardware-based depth sensors like RGB-D or stereo cameras. However, these sensors face practical limitations, including issues with transparent and reflective

Cited by 2SourceScholar
2025

SurgIRL: Toward Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning

RA-L 2025

Surgical automation holds immense potential to improve the outcome and accessibility of surgery. Recent studies use reinforcement learning to automate various surgical tasks. However, these policies are developed independently, and their reusability is limited when applied to other scenarios, making

Cited by 1SourceScholar
2024

SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation

IROS 2024poster

Inaccurate tool localization is one of the main reasons for failures in automating surgical tasks. Imprecise robot kinematics and noisy observations caused by the poor visual acuity of an endoscopic camera make tool tracking challenging. Previous works in surgical automation adopt environment-specif…

Cited by 1SourceScholar
2023

Finding Biomechanically Safe Trajectories for Robot Manipulation of the Human Body in a Search and Rescue Scenario

IROS 2023poster

There has been increasing awareness of the difficulties in reaching and extracting people from mass casualty scenarios, such as those arising from natural disasters. While platforms have been designed to consider reaching casualties and even carrying them out of harm's way, the challenge of repositi…

Cited by 8SourceScholar
2022

Configuration Space Decomposition for Scalable Proxy Collision Checking in Robot Planning and Control

RA-L 2022

Real-time robot motion planning in complex high-dimensional environments remains an open problem. Motion planning algorithms, and their underlying collision checkers, are crucial to any robot control stack. Collision checking takes up a large portion of the computational time in robot motion plannin

Cited by 15SourceScholar
2021

Data-driven Actuator Selection for Artificial Muscle-Powered Robots

ICRA 2021poster

Even though artificial muscles have gained popularity due to their compliant, flexible and compact properties, there currently does not exist an easy way of making informed decisions on the appropriate actuation strategy when designing a muscle-powered robot; thus limiting the transition of such tec…

Cited by 5SourceScholar
2019

Augmented Reality Predictive Displays to Help Mitigate the Effects of Delayed Telesurgery

ICRA 2019poster

Surgical robots offer the exciting potential for remote telesurgery, but advances are needed to make this technology efficient and accurate to ensure patient safety. Achieving these goals is hindered by the deleterious effects of latency between the remote operator and the bedside robot. Predictive…

Cited by 52SourceScholar