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Found 6 papers, 1 papers with code
Interactive Imitation Learning in State-Space
Imitation Learning techniques enable programming the behavior of agents through demonstrations rather than manual engineering.
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Finally, we zero-transfer our learned 6D fetching policy with BHyRL to our MM robot TIAGo++.
Regularized Deep Signed Distance Fields for Reactive Motion Generation
Autonomous robots should operate in real-world dynamic environments and collaborate with humans in tight spaces.
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Our proposed approach achieves state-of-the-art performance in simulated high-dimensional and dynamic tasks while avoiding collisions with the environment.
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering
A significant challenge for real-world robotic manipulation is the effective 6DoF grasping of objects in cluttered scenes from any single viewpoint without the need for additional scene exploration.
Active-Perceptive Motion Generation for Mobile Manipulation
In this work, we introduce an active perception pipeline for mobile manipulators to generate motions that are informative toward manipulation tasks, such as grasping in unknown, cluttered scenes.
