Danny Driess
Danny Driess
Verified email at ipvs.uni-stuttgart.de
Cited by
Cited by
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
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
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
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
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
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
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
Describing physics for physical reasoning: Force-based sequential manipulation planning
M Toussaint, JS Ha, D Driess
arXiv preprint arXiv:2002.12780, 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
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
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
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
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
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
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
From Images to Task Planning: How NLP Can Help Physical Reasoning
ST Nguyen, OS Oguz, D Driess, M Toussaint
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