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ORCIDMarc Toussaint
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- affiliation: TU Berlin, Germany
- affiliation (former): University of Edinburgh, UK
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2020 – today
- 2022
[j32]David Hägele
, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visual analytics for nonlinear programming in robot motion planning. J. Vis. 25(1): 127-141 (2022)- [j31]Nicolas Kubail Kalousdian, Grzegorz Lochnicki, Valentin N. Hartmann, Samuel Leder, Ozgur S. Oguz, Achim Menges, Marc Toussaint:
Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks. IEEE Robotics Autom. Lett. 7(2): 5749-5756 (2022) - [i70]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRR abs/2202.11855 (2022) - [i69]Jay Kamat, Joaquim Ortiz de Haro, Marc Toussaint, Florian T. Pokorny, Andreas Orthey:
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning. CoRR abs/2203.01751 (2022) - [i68]Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint:
ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time. CoRR abs/2203.02176 (2022) - [i67]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) - [i66]Wolfgang Hönig, Joaquim Ortiz de Haro, Marc Toussaint:
db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning. CoRR abs/2203.11108 (2022) - [i65]Camille Phiquepal, Andreas Orthey, Nicolas Viennot, Marc Toussaint:
Path-Tree Optimization in Partially Observable Environments using Rapidly-Exploring Belief-Space Graphs. CoRR abs/2204.04444 (2022) - [i64]Jason Harris, Danny Driess, Marc Toussaint:
FC3: Feasibility-Based Control Chain Coordination. CoRR abs/2205.04362 (2022) - 2021
- [j30]Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. IEEE Robotics Autom. Lett. 6(1): 367-373 (2021) - [j29]Andreas Orthey, Marc Toussaint:
Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning. IEEE Trans. Robotics 37(6): 1891-1905 (2021) - [c128]Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. CASE 2021: 1547-1553 - [c127]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 - [c126]Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake:
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. CoRL 2021: 245-255 - [c125]Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint:
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks. ICLR 2021 - [c124]Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint:
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation. ICRA 2021: 4606-4612 - [c123]Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz:
Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning. ICRA 2021: 6600-6606 - [c122]Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps for High-Dimensional Robotic Motion Planning. ICRA 2021: 7851-7857 - [c121]Camille Phiquepal, Marc Toussaint:
Control-Tree Optimization: an approach to MPC under discrete Partial Observability. ICRA 2021: 9666-9672 - [c120]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. ICRA 2021: 14185-14191 - [c119]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 - [c118]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies. IROS 2021: 5305-5311 - [c117]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 - [c116]Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. ECML/PKDD (3) 2021: 346-361 - [c115]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. RO-MAN 2021: 7-14 - [c114]Yoojin Oh, Tim Schäfer, Benedikt Rüther, Marc Toussaint, Jim Mainprice:
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures. RO-MAN 2021: 503-508 - [c113]Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice:
GraspME - Grasp Manifold Estimator. RO-MAN 2021: 626-632 - [c112]Andreas Orthey, Marc Toussaint:
Visualizing Local Minima in Multi-robot Motion Planning Using Multilevel Morse Theory. WAFR 2021: 502-517 - [e5]Dylan A. Shell, Marc Toussaint, M. Ani Hsieh:
Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021. 2021, ISBN 978-0-9923747-7-8 [contents] - [i63]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of Nonlinear Programming for Robot Motion Planning. CoRR abs/2101.12075 (2021) - [i62]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. CoRR abs/2103.05401 (2021) - [i61]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. CoRR abs/2104.08137 (2021) - [i60]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) - [i59]Yoojin Oh, Marc Toussaint, Jim Mainprice:
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures. CoRR abs/2107.01829 (2021) - [i58]Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice:
GraspME - Grasp Manifold Estimator. CoRR abs/2107.01836 (2021) - [i57]Andreas Orthey, Florian T. Pokorny, Marc Toussaint:
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning. CoRR abs/2107.02498 (2021) - [i56]Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint:
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks. CoRR abs/2107.06661 (2021) - [i55]Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. CoRR abs/2108.00819 (2021) - [i54]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies. CoRR abs/2108.10634 (2021) - [i53]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) - [i52]Cornelius V. Braun, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz:
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning. CoRR abs/2110.03420 (2021) - [i51]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i50]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) - [i49]Jung-Su Ha, Danny Driess, Marc Toussaint:
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation. CoRR abs/2112.04812 (2021) - [i48]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. CoRR abs/2112.06402 (2021) - 2020
- [j28]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) - [j27]Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima Using a Local-Minima Tree. IEEE Robotics Autom. Lett. 5(2): 346-353 (2020) - [j26]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) - [c111]Son Nguyen, Ozgur S. Oguz, Valentin N. Hartmann, Marc Toussaint:
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning. CoRL 2020: 2104-2119 - [c110]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. ICRA 2020: 1792-1798 - [c109]Jung-Su Ha, Danny Driess, Marc Toussaint:
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. ICRA 2020: 6745-6751 - [c108]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 - [c107]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 - [c106]Sabrina Hoppe, Markus Giftthaler, Robert Krug, Marc Toussaint:
Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG. IROS 2020: 9080-9087 - [c105]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. RO-MAN 2020: 547-552 - [c104]Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. RO-MAN 2020: 1157-1163 - [c103]Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. RO-MAN 2020: 1223-1229 - [c102]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 - [c101]Christian Henkel, Marc Toussaint:
Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent. SAC 2020: 776-783 - [c100]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of nonlinear programming for robot motion planning. VINCI 2020: 10:1-10:8 - [e4]Marc Toussaint, Antonio Bicchi, Tucker Hermans:
Robotics: Science and Systems XVI, Virtual Event / Corvalis, Oregon, USA, July 12-16, 2020. 2020, ISBN 978-0-9923747-6-1 [contents] - [i47]Andreas Orthey, Marc Toussaint:
Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory. CoRR abs/2002.04385 (2020) - [i46]Marc Toussaint, Jung-Su Ha, Danny Drieß:
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning. CoRR abs/2002.12780 (2020) - [i45]Jung-Su Ha, Danny Drieß, Marc Toussaint:
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. CoRR abs/2003.04259 (2020) - [i44]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) - [i43]Christian Henkel, Marc Toussaint:
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent. CoRR abs/2003.12924 (2020) - [i42]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) - [i41]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. CoRR abs/2007.04842 (2020) - [i40]Sabrina Hoppe, Marc Toussaint:
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning. CoRR abs/2007.07582 (2020) - [i39]Andreas Orthey, Sohaib Akbar, Marc Toussaint:
Multilevel Motion Planning: A Fiber Bundle Formulation. CoRR abs/2007.09435 (2020) - [i38]Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. CoRR abs/2007.10038 (2020) - [i37]Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. CoRR abs/2007.15308 (2020) - [i36]Andreas Orthey, Marc Toussaint:
Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning. CoRR abs/2010.14524 (2020) - [i35]Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning. CoRR abs/2011.00832 (2020) - [i34]Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. CoRR abs/2011.01552 (2020) - [i33]Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint:
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation. CoRR abs/2011.04828 (2020) - [i32]Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. CoRR abs/2011.11552 (2020)
2010 – 2019
- 2019
- [j25]Sabrina Hoppe, Zhongyu Lou, Daniel Hennes, Marc Toussaint:
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 4(4): 4042-4047 (2019) - [c99]Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. CASE 2019: 1138-1144 - [c98]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML 2019: 1636-1645 - [c97]Danny Drieß, Daniel Hennes, Marc Toussaint:
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. ICRA 2019: 7844-7850 - [c96]Camille Phiquepal, Marc Toussaint:
Combined Task and Motion Planning under Partial Observability: An Optimization-Based Approach. ICRA 2019: 9000-9006 - [c95]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI 2019: 6231-6235 - [c94]Danny Drieß, Syn Schmitt, Marc Toussaint:
Active Inverse Model Learning with Error and Reachable Set Estimates. IROS 2019: 1826-1833 - [c93]Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. IROS 2019: 4140-4146 - [c92]Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning Using Sequential Simplifications. ISRR 2019: 52-68 - [i31]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR abs/1905.05710 (2019) - [i30]Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications. CoRR abs/1906.01350 (2019) - [i29]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization. CoRR abs/1906.12279 (2019) - [i28]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation. CoRR abs/1906.12280 (2019) - [i27]Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. CoRR abs/1907.10360 (2019) - [i26]Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. CoRR abs/1909.03462 (2019) - [i25]Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree. CoRR abs/1909.05035 (2019) - [i24]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. CoRR abs/1910.01843 (2019) - 2018
- [j24]Thibaut Munzer, Marc Toussaint, Manuel Lopes:
Efficient behavior learning in human-robot collaboration. Auton. Robots 42(5): 1103-1115 (2018) - [j23]Ruth Schulz, Philipp Kratzer, Marc Toussaint:
Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types. Frontiers Neurorobotics 12: 36 (2018) - [j22]Peter Englert, Marc Toussaint:
Learning manipulation skills from a single demonstration. Int. J. Robotics Res. 37(1): 137-154 (2018) - [c91]Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint:
Bayesian Functional Optimization. AAAI 2018: 4171-4178 - [c90]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Towards Combining Motion Optimization and Data Driven Dynamical Models for Human Motion Prediction. Humanoids 2018: 202-208 - [c89]Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Probabilistic Recurrent State-Space Models. ICML 2018: 1279-1288 - [c88]Baptiste Busch, Marc Toussaint, Manuel Lopes:
Planning Ergonomic Sequences of Actions in Human-Robot Interaction. ICRA 2018: 1916-1923 - [c87]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 - [c86]Peter Englert, Marc Toussaint:
Kinematic Morphing Networks for Manipulation Skill Transfer. IROS 2018: 2517-2523 - [c85]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems 2018 - [i23]Peter Englert, Marc Toussaint:
Kinematic Morphing Networks for Manipulation Skill Transfer. CoRR abs/1803.01777 (2018) - 2017
- [j21]Peter Englert, Ngo Anh Vien, Marc Toussaint:
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. Int. J. Robotics Res. 36(13-14): 1474-1488 (2017) - [c84]Christian Friedrich, Viktor Zielke, Marc Toussaint, Armin Lechler, Alexander Verl:
Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks. CASE 2017: 1445-1450 - [c83]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CogSci 2017 - [c82]Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Optimizing Long-term Predictions for Model-based Policy Search. CoRL 2017: 227-238 - [c81]Ruth Schulz, Philipp Kratzer, Marc Toussaint:
Building a Bridge with a Robot: A System for Collaborative On-table Task Execution. HAI 2017: 399-403 - [c80]Manuel Baum, Matthew Bernstein, Roberto Martín-Martín, Sebastian Höfer, Johannes Kulick, Marc Toussaint, Alex Kacelnik, Oliver Brock:
Opening a lockbox through physical exploration. Humanoids 2017: 461-467 - [c79]Thibaut Munzer, Marc Toussaint, Manuel Lopes:
Preference learning on the execution of collaborative human-robot tasks. ICRA 2017: 879-885 - [c78]Danny Drieß, Peter Englert, Marc Toussaint:
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations. ICRA 2017: 902-907 - [c77]Marc Toussaint, Manuel Lopes:
Multi-bound tree search for logic-geometric programming in cooperative manipulation domains. ICRA 2017: 4044-4051 - [c76]Danny Drieß, Peter Englert, Marc Toussaint:
Active learning with query paths for tactile object shape exploration. IROS 2017: 65-72 - [c75]Jonas Langhabel, Robert Lieck, Marc Toussaint, Martin Rohrmeier:
Feature Discovery for Sequential Prediction of Monophonic Music. ISMIR 2017: 649-656 - [p5]Marc Toussaint:
A Tutorial on Newton Methods for Constrained Trajectory Optimization and Relations to SLAM, Gaussian Process Smoothing, Optimal Control, and Probabilistic Inference. Geometric and Numerical Foundations of Movements 2017: 361-392 - [i22]Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint:
Identification of Unmodeled Objects from Symbolic Descriptions. CoRR abs/1701.06450 (2017) - [i21]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CoRR abs/1707.08212 (2017) - 2016
- [j20]Jens Schreiter, Duy Nguyen-Tuong, Marc Toussaint:
Efficient sparsification for Gaussian process regression. Neurocomputing 192: 29-37 (2016) - [j19]Robert Lieck, Marc Toussaint:
Temporally extended features in model-based reinforcement learning with partial observability. Neurocomputing 192: 49-60 (2016) - [c74]