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Humans perform everyday tasks using a combination of locomotion and manipulation skills.
A humanoid robot carrying a heavy object. In Proceedings of the 2005 IEEE International Conference on Robotics and Automation . IEEE, 1712–1717
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SIMBICON: Simple Biped Locomotion Control
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Dynamic lifting by whole body motion of humanoid robots. In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 668–675
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Motion graphs
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Synthesis of concurrent object manipulation tasks
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Discovery of complex behaviors through contact-invariant optimization
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Deep unsupervised learning using nonequilibrium thermodynamics. In International Conference on Machine Learning . PMLR, 2256–2265
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Per-contact iteration method for solving contact dynamics
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Interactive character animation by learning multi-objective control
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Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning
Libin Liu and Jessica Hodgins. 2018 · 2018
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Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne. 2018 · 2018
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Film: Visual reasoning with a general conditioning layer. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 32
Ethan Perez, Florian Strub, Harm De Vries, Vincent Dumoulin, and Aaron Courville. 2018 · 2018
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DReCon: data-driven responsive control of physics-based characters
Kevin Bergamin, Simon Clavet, Daniel Holden, and James Richard Forbes. 2019 · 2019
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Learning predict-and-simulate policies from unorganized human motion data
Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, and Jehee Lee. 2019 · 2019
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Drop Prevention Control for Humanoid Robots Carrying Stacked Boxes. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 4118–4125
Shimpei Sato, Yuta Kojio, Kunio Kojima, Fumihito Sugai, Yohei Kakiuchi, Kei Okada, and Masayuki Inaba. 2021 · 2021
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Discovering diverse athletic jumping strategies
Zhiqi Yin, Zeshi Yang, Michiel van de Panne, and KangKang Yin. 2021 · 2021
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ManipNet: Neural manipulation synthesis with a hand-object spatial representation
He Zhang, Yuting Ye, Takaaki Shiratori, and Taku Komura. 2021 · 2021
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A survey on reinforcement learning methods in character animation. In Computer Graphics Forum , Vol. 41. Wiley Online Library, 613–639
Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C Karen Liu, Julien Pettré, Michiel van de Panne, and Marie-Paule Cani. 2022 · 2022
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ASE: Large-scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, and Sanja Fidler. 2022 · 2022
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Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito. 2019 · 2019
Cited alongside, same era.
On the continuity of rotation representations in neural networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5745–5753
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li. 2019 · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
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Learned motion matching
Daniel Holden, Oussama Kanoun, Maksym Perepichka, and Tiberiu Popa. 2020 · 2020
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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel van de Panne. 2020 · 2020
Cited alongside, same era.
Catch & Carry: reusable neural controllers for vision-guided whole-body tasks
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, and Nicolas Heess. 2020 · 2020
Cited alongside, same era.
A scalable approach to control diverse behaviors for physically simulated characters
Jungdam Won, Deepak Gopinath, and Jessica Hodgins. 2020 · 2020
Cited alongside, same era.
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GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping. In Conference on Computer Vision and Pattern Recognition (CVPR)
Omid Taheri, Vasileios Choutas, Michael J. Black, and Dimitrios Tzionas. 2022 · 2022
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Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano. 2022 · 2022
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EDGE: Editable Dance Generation From Music
Jonathan Tseng, Rodrigo Castellon, and C Karen Liu. 2022 · 2022
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Physics-based character controllers using conditional VAEs
Jungdam Won, Deepak Gopinath, and Jessica Hodgins. 2022 · 2022
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Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts
Zhaoming Xie, Sebastian Starke, Hung Yu Ling, and Michiel van de Panne. 2022 · 2022
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Learning to use chopsticks in diverse gripping styles
Zeshi Yang, Kangkang Yin, and Libin Liu. 2022 · 2022
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ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
Heyuan Yao, Zhenhua Song, Baoquan Chen, and Libin Liu. 2022 · 2022
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PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz. 2022 · 2022
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Couch: towards controllable human-chair interactions. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part V . Springer, 518–535
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, and Gerard Pons-Moll. 2022 · 2022
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Synthesizing Physical Character-Scene Interactions
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, and Xue Bin Peng. 2023 · 2023
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