EDP management personnel education. - Richard Cheng; Ivan M. Rosenberg (SIGCPR, 1975)

On-line large screen display system for computer instruction. - Richard Cheng (SIGCSE-SIGCUE, 1976)

A diversified undergraduate computer science program. - Richard Cheng (SIGCSE-SIGCUE, 1976)

Intelligent Guide: Combining User Knowledge Assessment with Pedagogical Guidance. - Ramzan Khuwaja; Michel C. Desmarais; Richard Cheng (Intelligent Tutoring Systems, 1996)

Wind disturbance rejection for an insect-scale flapping-wing robot. - Pakpong Chirarattananon; Kevin Y. Ma; Richard Cheng; Robert J. Wood (IROS, 2015)

Extraction of Muscle Synergies in Spinal Cord Injured Patients. - Richard Cheng; Joel W. Burdick (EMBC, 2018)

On Muscle Activation for Improving Robotic Rehabilitation after Spinal Cord Injury. - Richard Cheng; Yanan Sui; Dimitry Sayenko; Joel W. Burdick (IROS, 2018)

End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. - Richard Cheng; Gábor Orosz; Richard M. Murray; Joel W. Burdick (AAAI, 2019)

Control Regularization for Reduced Variance Reinforcement Learning. - Richard Cheng; Abhinav Verma 001; Gábor Orosz; Swarat Chaudhuri; Yisong Yue; Joel Burdick (ICML, 2019)

Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. - Richard Cheng; Mohammad Javad Khojasteh; Aaron D. Ames; Joel W. Burdick (CDC, 2020)

Learning an Optimal Sampling Distribution for Efficient Motion Planning. - Richard Cheng; Krishna Shankar; Joel W. Burdick (IROS, 2020)

Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. - Maegan Tucker; Myra Cheng; Ellen R. Novoseller; Richard Cheng; Yisong Yue; Joel W. Burdick; Aaron D. Ames (IROS, 2020)

Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty. - Richard Cheng; Richard M. Murray; Joel W. Burdick (ICRA, 2021)

Efficiently Learning Single-Arm Fling Motions to Smooth Garments. - Lawrence Yunliang Chen; Huang Huang; Ellen R. Novoseller; Daniel Seita; Jeffrey Ichnowski; Michael Laskey; Richard Cheng; Thomas Kollar; Ken Goldberg (ISRR, 2022)

Motion Planning to Cartesian Targets Leveraging Large-Scale Dynamic Roadmaps. - Richard Cheng; Josh Petersen; James Borders; Daniel M. Helmick; Lukas Kaul; Dan Kruse; John Leichty; Carolyn Matl; Chavdar Papazov; Krishna Shankar; Mark Tjersland (CASE, 2023)

HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation. - Vainavi Viswanath; Kaushik Shivakumar; Mallika Parulekar; Jainil Ajmera; Justin Kerr; Jeffrey Ichnowski; Richard Cheng; Thomas Kollar; Ken Goldberg (CoRL, 2023)

AutoBag: Learning to Open Plastic Bags and Insert Objects. - Lawrence Yunliang Chen; Baiyu Shi; Daniel Seita; Richard Cheng; Thomas Kollar; David Held; Ken Goldberg (ICRA, 2023)

SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. - Kaushik Shivakumar; Vainavi Viswanath; Anrui Gu; Yahav Avigal; Justin Kerr; Jeffrey Ichnowski; Richard Cheng; Thomas Kollar; Ken Goldberg (ICRA, 2023)

Bagging by Learning to Singulate Layers Using Interactive Perception. - Lawrence Yunliang Chen; Baiyu Shi; Roy Lin; Daniel Seita; Ayah Ahmad; Richard Cheng; Thomas Kollar; David Held; Ken Goldberg (IROS, 2023)

Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach. - Max Bajracharya; James Borders; Richard Cheng; Daniel M. Helmick; Lukas Kaul; Dan Kruse; John Leichty; Jeremy Ma; Carolyn Matl; Frank Michel 002; Chavdar Papazov; Josh Petersen; et al. (Robotics: Science and Systems, 2023)

Learning to Trace and Untangle Semi-planar Knots (TUSK). - Vainavi Viswanath; Kaushik Shivakumar; Jainil Ajmera; Mallika Parulekar; Justin Kerr; Jeffrey Ichnowski; Richard Cheng; Thomas Kollar; Ken Goldberg (CoRR, 2023)

The Teenager's Problem: Efficient Garment Decluttering With Grasp Optimization. - Aviv Adler; Ayah Ahmad; Shengyin Wang; Wisdom C. Agboh; Edith LLontop; Tianshuang Qiu; Jeffrey Ichnowski; Mehmet Remzi Dogar; Thomas Kollar; Richard Cheng; Ken Goldberg (CoRR, 2023)

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning. - Lawrence Yunliang Chen; Chenfeng Xu; Karthik Dharmarajan; Richard Cheng; Kurt Keutzer; Masayoshi Tomizuka; Quan Vuong; Ken Goldberg (CoRL, 2024)

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration. - Richard Cheng; Chavdar Papazov; Daniel M. Helmick; Mark Tjersland (IROS, 2024)

Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot. - Justin Yu; Kush Hari; Kishore Srinivas; Karim El-Refai; Adam Rashid; Chung Min Kim; Justin Kerr; Richard Cheng; Muhammad Zubair Irshad; Ashwin Balakrishna; Thomas Kollar; Ken Goldberg (IROS, 2024)

MANIP: A Modular Architecture for Integrating Interactive Perception for Robot Manipulation. - Justin Yu; Tara Sadjadpour; Abby O'Neill; Mehdi Khfifi; Lawrence Yunliang Chen; Richard Cheng; Muhammad Zubair Irshad; Ashwin Balakrishna; Thomas Kollar; Ken Goldberg (IROS, 2024)

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning. - Lawrence Yunliang Chen; Chenfeng Xu; Karthik Dharmarajan; Muhammad Zubair Irshad; Richard Cheng; Kurt Keutzer; Masayoshi Tomizuka; Quan Vuong; Ken Goldberg (CoRR, 2024)

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration. - Richard Cheng; Chavdar Papozov; Daniel M. Helmick; Mark Tjersland (CoRR, 2025)

Persistent Object Gaussian Splat (POGS) for Tracking Human and Robot Manipulation of Irregularly Shaped Objects. - Justin Yu; Kush Hari; Karim El-Refai; Arnav Dalal; Justin Kerr; Chung Min Kim; Richard Cheng; Muhammad Zubair Irshad; Ken Goldberg (CoRR, 2025)

Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning. - Peter Werner; Richard Cheng; Tom Stewart; Russ Tedrake; Daniela Rus (CoRR, 2025)

Practical Insights on Grasp Strategies for Mobile Manipulation in the Wild. - Isabella Huang; Richard Cheng; Sangwoon Kim; Dan Kruse; Carolyn Matl; Lukas Kaul; JC Hancock; Shanmuga Harikumar; Mark Tjersland; James Borders; Daniel M. Helmick (CoRR, 2025)

Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware. - Justin Yu; Letian Fu; Huang Huang; Karim El-Refai; Rares Andrei Ambrus; Richard Cheng; Muhammad Zubair Irshad; Ken Goldberg (CoRR, 2025)