Ruopeng Huang

I am a Ph.D. student in CEE at UCLA, advised by Prof. Chen Tang in the Trustworthy Autonomous Mobility Systems (TAMS) Lab.

Before joining UCLA, I was a Master's student in Computer Science (Intelligent Robotics) at the University of Southern California, where I conducted research in Prof. Erdem Biyik's LiraLab. I was also a visiting student at the TASL at UC Riverside, working with Prof. Jiachen Li, and previously conducted research at USC's RRoS Lab, advised by Prof. S. K. Gupta. I received my bachelor's degree in Computer Science and Technology from Beijing University of Posts and Telecommunications.

My research interests include robotic manipulation, robot perception, and robot learning, with an emphasis on building robust robotic systems for real-world deployment.

Email / CV / Scholar / Linkedin

Research

	SCAPE: Scenario-Conditioned Simulation-Augmented Policy Evaluation Dijie Zhu, Seunghun Oh, Ruopeng Huang, Zhiyu Huang, Jiaqi Ma, Chen Tang Conference on Robot Learning (CoRL), 2026 paper
	SyncTwin: Fast Digital Twin Construction and Synchronization for Safe Robotic Manipulation Ruopeng Huang, Boyu Yang, Wenlong Gui, Jeremy Morgan, Erdem Biyik, Jiachen Li paper / project page We present SyncTwin, a fast digital twin construction and synchronization framework for safe robotic grasping in dynamic and partially observed environments.
	Robotic Compliant Object Prying Using Diffusion Policy Guided by Vision and Force Observations Jeon Ho Kang, Sagar Joshi, Ruopeng Huang, Satyandra K. Gupta IEEE Robotics and Automation Letters (RA-L), 2025 (Accepted) paper / project page / code This work presents a diffusion-policy-based approach for compliant object prying, integrating vision and force observations for robust contact-rich manipulation.
	Energy-Aware Planning for Legged Robots Performing Logistics Tasks in Agriculture Applications Shengqiang Chen, Yiyu Chen, Ruopeng Huang, Quan Nguyen, Satyandra K. Gupta ASME Letters in Robotics (L-ROB), 2026 (Accepted) paper We study energy-aware motion planning for legged robots in agricultural logistics scenarios, balancing task efficiency and energy consumption in wild environments.

Work Experience

	Dorna Robotics Co. Ltd. — Robotics Software Engineer Intern Los Angeles, United States Apr. 2025–Jul. 2025 Designed an automatic calibration algorithm for a robotic arm without a camera; built a UI for obstacle configuration to simplify setup and make motion planning safer.
	ByteDance Technology Co. Ltd. — Software Development Engineer Beijing, China Aug. 2021–Aug. 2022 Re-architected the Hawk platform with a focus on concurrency and scalability, resolving performance bottlenecks in DouYin (TikTok) content security services.
	Baidu Technology Co. Ltd. — Development and Test Engineer Beijing, China Oct. 2020–Aug. 2021 Built algorithm evaluation pipelines and maintained backend platform services for the Vision Technology Center.

Course Projects

	Multimodal Model-Based Robotic Arm Control in Household Scenarios Deep Learning and Application (Instructor: Zhao Yue) Jan. 2025–May 2025 Built an OpenVLA-based VLA to control a robotic arm with natural language; evaluated using the LIBERO benchmark suite.
	The Application of AI Algorithms in Robotic Arms Foundation of Artificial Intelligence (Instructor: Raj Venkat) Aug. 2023–Dec. 2023 Implemented motion planning for a 3-axis robotic arm in 2D using search, MDP, Q-learning, DDPG, and related RL/control methods.
	The Application of Multi-Sensor Fusion in Mobile Robotics Mobile Robotics (Instructor: David Rosen) Aug. 2023–Dec. 2023 Augmented LiDAR SLAM with GNSS factors in a fusion pipeline to improve localization accuracy and mapping quality.

Service & Skills

Service

IROS and RA-L Reviewer.

Skills

Python, C/C++, ROS2, Isaac Sim, ManiSkill, MuJoCo, MATLAB, Java, VHDL.

Hardware Experience

Robots: KUKA iiwa, Franka Panda, Aloha Dual Arm, LeRobot, AgileX Piper, Unitree Go2, LEGO Robot.

Webpage inspired by Jon Barron