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Danny Driess
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2020 – today
- 2024
[c26]Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter:
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. ICML 2024- [c25]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i24]Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia:
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. CoRR abs/2401.12168 (2024) - [i23]Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter:
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR abs/2402.07872 (2024) - [i22]Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi:
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. CoRR abs/2403.12943 (2024) - 2023
- [j6]Valentin N. Hartmann
, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly. IEEE Trans. Robotics 39(1): 239-252 (2023) - [c24]Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL 2023: 2165-2183 - [c23]Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng:
Large Language Models as General Pattern Machines. CoRL 2023: 2498-2518 - [c22]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. ICML 2023: 8469-8488 - [c21]Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint:
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. ICRA 2023: 3729-3735 - [c20]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. NeurIPS 2023 - [i21]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR abs/2303.00855 (2023) - [i20]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - [i19]Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng:
Large Language Models as General Pattern Machines. CoRR abs/2307.04721 (2023) - [i18]Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan:
Towards Generalist Biomedical AI. CoRR abs/2307.14334 (2023) - [i17]Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong T. Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR abs/2307.15818 (2023) - [i16]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i15]Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager:
Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR abs/2312.07843 (2023) - 2022
- [j5]Jung-Su Ha, Danny Driess, Marc Toussaint:
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input. IEEE Robotics Autom. Lett. 7(4): 10857-10864 (2022) - [c19]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRL 2022: 1755-1768 - [c18]Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig:
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. IROS 2022: 13753-13760 - [c17]Jason Harris, Danny Driess, Marc Toussaint:
FC3: Feasibility-Based Control Chain Coordination. IROS 2022: 13769-13776 - [c16]Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint:
Reinforcement Learning with Neural Radiance Fields. NeurIPS 2022 - [i14]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRR abs/2202.11855 (2022) - [i13]Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig:
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. CoRR abs/2203.05390 (2022) - [i12]Jason Harris, Danny Driess, Marc Toussaint:
FC3: Feasibility-Based Control Chain Coordination. CoRR abs/2205.04362 (2022) - [i11]Danny Driess, Ingmar Schubert, Peter R. Florence, Yunzhu Li, Marc Toussaint:
Reinforcement Learning with Neural Radiance Fields. CoRR abs/2206.01634 (2022) - [i10]Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint:
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. CoRR abs/2210.12386 (2022) - 2021
- [j4]Danny Driess, Jung-Su Ha, Marc Toussaint:
Learning to solve sequential physical reasoning problems from a scene image. Int. J. Robotics Res. 40(12-14): 1435-1466 (2021) - [c15]Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Marc Toussaint:
Structured deep generative models for sampling on constraint manifolds in sequential manipulation. CoRL 2021: 213-223 - [c14]Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake:
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. CoRL 2021: 245-255 - [c13]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. ICRA 2021: 14185-14191 - [c12]Danny Driess, Jung-Su Ha, Russ Tedrake, Marc Toussaint:
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input. ICRA 2021: 14298-14305 - [c11]Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. NeurIPS 2021: 1912-1924 - [i9]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. CoRR abs/2103.05401 (2021) - [i8]Valentin Noah Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly. CoRR abs/2106.02489 (2021) - [i7]Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake:
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. CoRR abs/2110.00792 (2021) - [i6]Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. CoRR abs/2111.07908 (2021) - [i5]Jung-Su Ha, Danny Driess, Marc Toussaint:
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation. CoRR abs/2112.04812 (2021) - 2020
- [j3]Isabell Wochner, Danny Drieß, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt:
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers Comput. Neurosci. 14: 38 (2020) - [j2]Daniel F. B. Haeufle, Isabell Wochner, David Holzmüller, Danny Driess, Michael Günther, Syn Schmitt:
Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking. Frontiers Robotics AI 7: 77 (2020) - [j1]Marc Toussaint, Jung-Su Ha, Danny Driess:
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning. IEEE Robotics Autom. Lett. 5(4): 6209-6216 (2020) - [c10]Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong:
Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS 2020: 2098-2108 - [c9]Jung-Su Ha, Danny Driess, Marc Toussaint:
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. ICRA 2020: 6745-6751 - [c8]Danny Driess, Ozgur S. Oguz, Jung-Su Ha, Marc Toussaint:
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. ICRA 2020: 9563-9569 - [c7]Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. IROS 2020: 6886-6893 - [c6]Danny Driess, Jung-Su Ha, Marc Toussaint:
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image. Robotics: Science and Systems 2020 - [i4]Marc Toussaint, Jung-Su Ha, Danny Drieß:
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning. CoRR abs/2002.12780 (2020) - [i3]Jung-Su Ha, Danny Drieß, Marc Toussaint:
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. CoRR abs/2003.04259 (2020) - [i2]Valentin N. Hartmann, Ozgur S. Oguz, Danny Drieß, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. CoRR abs/2003.07754 (2020) - [i1]Danny Drieß, Jung-Su Ha, Marc Toussaint:
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image. CoRR abs/2006.05398 (2020)
2010 – 2019
- 2019
- [c5]Danny Drieß, Daniel Hennes, Marc Toussaint:
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. ICRA 2019: 7844-7850 - [c4]Danny Drieß, Syn Schmitt, Marc Toussaint:
Active Inverse Model Learning with Error and Reachable Set Estimates. IROS 2019: 1826-1833 - 2018
- [c3]Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt:
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. ICRA 2018: 6461-6468 - 2017
- [c2]Danny Drieß, Peter Englert, Marc Toussaint:
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations. ICRA 2017: 902-907 - [c1]Danny Drieß, Peter Englert, Marc Toussaint:
Active learning with query paths for tactile object shape exploration. IROS 2017: 65-72
Coauthor Index
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