| Active Learning with Query Paths for Tactile Object Shape Exploration D Driess, P Englert, M Toussaint International Conference on Intelligent Robots and Systems (IROS 2017), 2017 | 20 | 2017 |
| Constrained Bayesian Optimization of Combined Interaction Force/Task Space Controllers for Manipulations D Drieß, P Englert, M Toussaint International Conference on Robotics and Automation (ICRA), 2017 | 18 | 2017 |
| Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties D Driess, H Zimmermann, S Wolfen, D Suissa, D Haeufle, D Hennes, ... International Conference on Robotics and Automation (ICRA), 2018 | 12 | 2018 |
| Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning D Driess, O Oguz, JS Ha, M Toussaint International Conference on Robotics and Automation (ICRA), 2020 | 9 | 2020 |
| Robust task and motion planning for long-horizon architectural construction planning VN Hartmann, OS Oguz, D Driess, M Toussaint, A Menges arXiv preprint arXiv:2003.07754, 2020 | 7 | 2020 |
| Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image D Driess, JS Ha, M Toussaint arXiv preprint arXiv:2006.05398, 2020 | 6 | 2020 |
| Hierarchical Task and Motion Planning using Logic-Geometric Programming (HLGP) D Driess, O Oguz, M Toussaint RSS Workshop on Robust Task and Motion Planning, 2019 | 6 | 2019 |
| Describing physics for physical reasoning: Force-based sequential manipulation planning M Toussaint, JS Ha, D Driess arXiv preprint arXiv:2002.12780, 2020 | 5 | 2020 |
| Probabilistic framework for constrained manipulations and task and motion planning under uncertainty JS Ha, D Driess, M Toussaint arXiv preprint arXiv:2003.04259, 2020 | 3 | 2020 |
| Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy D Driess, D Hennes, M Toussaint International Conference on Robotics and Automation (ICRA), 2019 | 3 | 2019 |
| Muscles reduce neuronal information load: quantification of control effort in biological vs robotic pointing and walking DFB Haeufle, I Wochner, D Holzmüller, D Driess, M Günther, S Schmitt Front. Robot. AI, 2020 | 2 | 2020 |
| Active Inverse Model Learning with Error and Reachable Set Estimates D Driess, S Schmitt, M Toussaint International Conference on Intelligent Robots and Systems (IROS), 2019 | 2 | 2019 |
| Optimality principles in human point-to-manifold reaching accounting for muscle dynamics I Wochner, D Driess, H Zimmermann, DFB Haeufle, M Toussaint, ... Frontiers in Computational Neuroscience 14, 38, 2020 | 1 | 2020 |
| Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG S Hoppe, M Giftthaler, R Krug, M Toussaint, S Hoppe, M Toussaint, ... iros#{(IROS 2020)}, 2020 | 1 | 2020 |
| Adaptive Discretization for Evaluation of Probabilistic Cost Functions C Zimmer, D Driess, M Meister, NT Duy International Conference on Artificial Intelligence and Statistics, 2098-2108, 2020 | | 2020 |
| From Images to Task Planning: How NLP Can Help Physical Reasoning ST Nguyen, OS Oguz, D Driess, M Toussaint | | |
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at informatik.uni-stuttgart.de
