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2020 – today
- 2024
[i14]Max Bajracharya, James Borders, Richard Cheng, Daniel M. Helmick, Lukas Kaul, Dan Kruse, John Leichty, Jeremy Ma, Carolyn Matl, Frank Michel, Chavdar Papazov, Josh Petersen, Krishna Shankar, Mark Tjersland:
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach. CoRR abs/2401.01474 (2024)- [i13]Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Muhammad Zubair Irshad, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg:
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning. CoRR abs/2409.03403 (2024) - [i12]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:
Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot. CoRR abs/2409.18108 (2024) - 2023
- [c20]Richard Cheng, Josh Petersen, James Borders, Daniel M. Helmick, Lukas Kaul, Dan Kruse, John Leichty, Carolyn Matl, Chavdar Papazov, Krishna Shankar, Mark Tjersland:
Motion Planning to Cartesian Targets Leveraging Large-Scale Dynamic Roadmaps. CASE 2023: 1-7 - [c19]Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation. CoRL 2023: 341-357 - [c18]Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
AutoBag: Learning to Open Plastic Bags and Insert Objects. ICRA 2023: 3918-3925 - [c17]Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. ICRA 2023: 5837-5843 - [c16]Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad
, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
Bagging by Learning to Singulate Layers Using Interactive Perception. IROS 2023: 3176-3183 - [c15]Max Bajracharya, James Borders, Richard Cheng, Daniel M. Helmick, Lukas Kaul, Dan Kruse, John Leichty, Jeremy Ma, Carolyn Matl, Frank Michel, Chavdar Papazov, Josh Petersen, Krishna Shankar, Mark Tjersland:
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach. Robotics: Science and Systems 2023 - [i11]Vainavi Viswanath, Kaushik Shivakumar, Jainil Ajmera, Mallika Parulekar, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
Learning to Trace and Untangle Semi-planar Knots (TUSK). CoRR abs/2303.08975 (2023) - [i10]Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
Bagging by Learning to Singulate Layers Using Interactive Perception. CoRR abs/2303.16898 (2023) - [i9]Aviv Adler, Ayah Ahmad, Shengyin Wang, Wisdom C. Agboh, Edith LLontop, Tianshuang Qiu, Jeffrey Ichnowski, Mehmet Remzi Dogar, Thomas Kollar, Richard Cheng, Ken Goldberg:
The Teenager's Problem: Efficient Garment Decluttering With Grasp Optimization. CoRR abs/2310.16951 (2023) - 2022
- [c14]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg:
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. ISRR 2022: 36-51 - [i8]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg:
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR abs/2206.08921 (2022) - [i7]Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. CoRR abs/2209.13706 (2022) - [i6]Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
AutoBag: Learning to Open Plastic Bags and Insert Objects. CoRR abs/2210.17217 (2022) - 2021
- [c13]Richard Cheng, Richard M. Murray, Joel W. Burdick:
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty. ICRA 2021: 3182-3189 - [i5]Richard Cheng, Richard M. Murray, Joel W. Burdick:
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty. CoRR abs/2103.03388 (2021) - 2020
- [c12]Richard Cheng, Mohammad Javad Khojasteh, Aaron D. Ames, Joel W. Burdick:
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. CDC 2020: 777-783 - [c11]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. IROS 2020: 3423-3430 - [c10]Richard Cheng, Krishna Shankar, Joel W. Burdick:
Learning an Optimal Sampling Distribution for Efficient Motion Planning. IROS 2020: 7485-7492 - [i4]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. CoRR abs/2003.06495 (2020) - [i3]Richard Cheng, Mohammad Javad Khojasteh, Aaron D. Ames, Joel W. Burdick:
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. CoRR abs/2004.05273 (2020)
2010 – 2019
- 2019
- [c9]Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick:
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. AAAI 2019: 3387-3395 - [c8]Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick:
Control Regularization for Reduced Variance Reinforcement Learning. ICML 2019: 1141-1150 - [i2]Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick:
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. CoRR abs/1903.08792 (2019) - [i1]Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel W. Burdick:
Control Regularization for Reduced Variance Reinforcement Learning. CoRR abs/1905.05380 (2019) - 2018
- [c7]Richard Cheng, Joel W. Burdick:
Extraction of Muscle Synergies in Spinal Cord Injured Patients. EMBC 2018: 2623-2626 - [c6]Richard Cheng, Yanan Sui, Dimitry Sayenko, Joel W. Burdick:
On Muscle Activation for Improving Robotic Rehabilitation after Spinal Cord Injury. IROS 2018: 798-805 - 2015
- [c5]Pakpong Chirarattananon, Kevin Y. Ma, Richard Cheng, Robert J. Wood:
Wind disturbance rejection for an insect-scale flapping-wing robot. IROS 2015: 60-67
1990 – 1999
- 1996
- [c4]Ramzan Khuwaja, Michel C. Desmarais, Richard Cheng:
Intelligent Guide: Combining User Knowledge Assessment with Pedagogical Guidance. Intelligent Tutoring Systems 1996: 225-233
1970 – 1979
- 1976
- [c3]Richard Cheng:
On-line large screen display system for computer instruction. SIGCSE-SIGCUE 1976: 179-181 - [c2]Richard Cheng:
A diversified undergraduate computer science program. SIGCSE-SIGCUE 1976: 366-370 - 1975
- [c1]Richard Cheng, Ivan M. Rosenberg:
EDP management personnel education. SIGCPR 1975: 40-49
Coauthor Index
aka: Joel Burdick
aka: Ken Goldberg
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last updated on 2024-10-18 19:30 CEST by the dblp team
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