Video demonstration of the paper SVN-ICP
Learning and Intelligent Systems Lab, TU Berlin
Video demonstration of the paper SVN-ICP
3:17
Learning to Solve Sequential Physical Reasoning Problems from a Scene Image - IJRR 2021
Learning and Intelligent Systems Lab, TU Berlin
Learning to Solve Sequential Physical Reasoning Problems from a Scene Image - IJRR 2021
5:17
Learning to Execute: NeurIPS 2021 Talk
Learning and Intelligent Systems Lab, TU Berlin
Learning to Execute: NeurIPS 2021 Talk
8:29
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
Learning and Intelligent Systems Lab, TU Berlin
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
3:37
Karen Liu: The New Role of Physics Simulation in AI
Learning and Intelligent Systems Lab, TU Berlin
Karen Liu: The New Role of Physics Simulation in AI
43:33
Franziska Meier: Lifelong Learning for Robotics
Learning and Intelligent Systems Lab, TU Berlin
Franziska Meier: Lifelong Learning for Robotics
38:07
Zachary Kingston: Toward Efficient and General Multi-Modal Planning
Learning and Intelligent Systems Lab, TU Berlin
Zachary Kingston: Toward Efficient and General Multi-Modal Planning
1:09:11
Olivier Stasse: Motion generation for humanoid robots from motion planning to whole body control
Learning and Intelligent Systems Lab, TU Berlin
Olivier Stasse: Motion generation for humanoid robots from motion planning to whole body control
39:26
Pia Bideau: Different representations of motion information - and what can we learn from those?
Learning and Intelligent Systems Lab, TU Berlin
Pia Bideau: Different representations of motion information - and what can we learn from those?
44:23
Alberto Rodriguez: The Role of Manipulation Primitives in Building Dexterous Robotic Systems
Learning and Intelligent Systems Lab, TU Berlin
Alberto Rodriguez: The Role of Manipulation Primitives in Building Dexterous Robotic Systems
53:32
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input - ICRA 2021
Learning and Intelligent Systems Lab, TU Berlin
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input - ICRA 2021
3:24
Chris Mavrogiannis: Leveraging structure for autonomous robot navigation in multiagent human spaces
Learning and Intelligent Systems Lab, TU Berlin
Chris Mavrogiannis: Leveraging structure for autonomous robot navigation in multiagent human spaces
57:55
Neil T. Dantam: Abstractions in Robot Planning
Learning and Intelligent Systems Lab, TU Berlin
Neil T. Dantam: Abstractions in Robot Planning
1:01:59
Rahul Shome: Leveraging Structures and Theoretical Guarantees in Robotics
Learning and Intelligent Systems Lab, TU Berlin
Rahul Shome: Leveraging Structures and Theoretical Guarantees in Robotics
36:32
Georgia Chalvatzaki: Towards intelligent robotic assistants
Learning and Intelligent Systems Lab, TU Berlin
Georgia Chalvatzaki: Towards intelligent robotic assistants
37:23
Jens Kober: Robots Learning (Through) Interactions
Learning and Intelligent Systems Lab, TU Berlin
Jens Kober: Robots Learning (Through) Interactions
48:31
Constantinos Chamzas: Learning and Motion Planning
Learning and Intelligent Systems Lab, TU Berlin
Constantinos Chamzas: Learning and Motion Planning
34:37
Jonathan D. Gammell: Furthering Motion Estimation and Planning in Robotics
Learning and Intelligent Systems Lab, TU Berlin
Jonathan D. Gammell: Furthering Motion Estimation and Planning in Robotics
54:36
Wolfgang Hönig: Using Function Approximation for Provable Safe Multi-Robot MotionCoordination
Learning and Intelligent Systems Lab, TU Berlin
Wolfgang Hönig: Using Function Approximation for Provable Safe Multi-Robot MotionCoordination
43:34
Majid Khadiv: Control of legged robots in challenging environments
Learning and Intelligent Systems Lab, TU Berlin
Majid Khadiv: Control of legged robots in challenging environments
28:07
Steve Tonneau: The "contact planning problem" for legged robots: A cardinality minimisation approach
Learning and Intelligent Systems Lab, TU Berlin
Steve Tonneau: The "contact planning problem" for legged robots: A cardinality minimisation approach
57:59
Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG
Learning and Intelligent Systems Lab, TU Berlin
Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG
1:00
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from Images
Learning and Intelligent Systems Lab, TU Berlin
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from Images
3:00
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning
Learning and Intelligent Systems Lab, TU Berlin
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning
1:45
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree
Learning and Intelligent Systems Lab, TU Berlin
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree
2:59
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning
Learning and Intelligent Systems Lab, TU Berlin
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning
3:00
Active Inverse Model Learning with Error and Reachable Set Estimates
Learning and Intelligent Systems Lab, TU Berlin
Active Inverse Model Learning with Error and Reachable Set Estimates
1:01
Hierarchical Task and Motion Planning using Logic-Geometric Programming (HLGP)
Learning and Intelligent Systems Lab, TU Berlin
Hierarchical Task and Motion Planning using Logic-Geometric Programming (HLGP)
0:53
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy
Learning and Intelligent Systems Lab, TU Berlin
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy
2:44
Preferred Interaction Styles for Human-Robot Collaboration
Learning and Intelligent Systems Lab, TU Berlin
Preferred Interaction Styles for Human-Robot Collaboration
3:11
Learning to Control Musculoskeletal Systems with Neural Networks: Exploiting Muscle Properties
Learning and Intelligent Systems Lab, TU Berlin
Learning to Control Musculoskeletal Systems with Neural Networks: Exploiting Muscle Properties
2:20
Kinematic Morphing Networks for Manipulation Skill Transfer
Learning and Intelligent Systems Lab, TU Berlin
Kinematic Morphing Networks for Manipulation Skill Transfer
1:02
Learning Manipulation Skills from a Single Demonstration
Learning and Intelligent Systems Lab, TU Berlin
Learning Manipulation Skills from a Single Demonstration
2:37
Collaborative Robots Learning Spatial Language for Picking and Placing Objects on a Table
Learning and Intelligent Systems Lab, TU Berlin
Collaborative Robots Learning Spatial Language for Picking and Placing Objects on a Table
2:25
Building a Bridge with a Robot: A System for Collaborative On-table Task Execution
Learning and Intelligent Systems Lab, TU Berlin
Building a Bridge with a Robot: A System for Collaborative On-table Task Execution
1:20
Task and Motion Planning under Partial Observability
Learning and Intelligent Systems Lab, TU Berlin
Task and Motion Planning under Partial Observability
1:08
Active Learning with Query Paths for Tactile Object Shape Exploration
Learning and Intelligent Systems Lab, TU Berlin
Active Learning with Query Paths for Tactile Object Shape Exploration
2:38
Constrained Bayesian Optimization of Interaction Force/Task Space Controllers
Learning and Intelligent Systems Lab, TU Berlin
Constrained Bayesian Optimization of Interaction Force/Task Space Controllers
2:00
Active Exploration of Joint Dependency Structures
Learning and Intelligent Systems Lab, TU Berlin
Active Exploration of Joint Dependency Structures
0:11
POMDP Manipulation via Trajectory Optimization
Learning and Intelligent Systems Lab, TU Berlin
POMDP Manipulation via Trajectory Optimization
1:10
Relational Activity Processes for Modeling Concurrent Cooperation
Learning and Intelligent Systems Lab, TU Berlin
Relational Activity Processes for Modeling Concurrent Cooperation
3:18
Touch Based POMDP Manipulation via Sequential Submodular Optimization
Learning and Intelligent Systems Lab, TU Berlin
Touch Based POMDP Manipulation via Sequential Submodular Optimization
2:01
Robot Programming from Demonstration and Feedback
Learning and Intelligent Systems Lab, TU Berlin
Robot Programming from Demonstration and Feedback
2:01
Robot Programming from Knowledge Transfer
Learning and Intelligent Systems Lab, TU Berlin
Robot Programming from Knowledge Transfer
1:31
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning
Learning and Intelligent Systems Lab, TU Berlin
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning
1:01
Combined Optimization and Reinforcement Learning for Manipulation Skills
Learning and Intelligent Systems Lab, TU Berlin
Combined Optimization and Reinforcement Learning for Manipulation Skills
3:21
Inverse KKT — Learning Cost Functions of Manipulation Tasks from Demonstrations
Learning and Intelligent Systems Lab, TU Berlin
Inverse KKT — Learning Cost Functions of Manipulation Tasks from Demonstrations
1:19
Identification of Unmodeled Objects from Symbolic Descriptions
Learning and Intelligent Systems Lab, TU Berlin
Identification of Unmodeled Objects from Symbolic Descriptions
1:01