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Found 5 papers, 4 papers with code
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
This report describes our winning submission to the Real Robot Challenge (https://real-robot-challenge. com/).
Residual Policy Learning for Shared Autonomy
Shared autonomy provides an effective framework for human-robot collaboration that takes advantage of the complementary strengths of humans and robots to achieve common goals.
Robotics
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning
The physical design of a robot and the policy that controls its motion are inherently coupled, and should be determined according to the task and environment.
Jointly Optimizing Placement and Inference for Beacon-based Localization
The accuracy of such a beacon-based localization system depends both on how beacons are distributed in the environment, and how the robot's location is inferred based on noisy and potentially ambiguous measurements.
Bayesian optimization for automated model selection
Despite the success of kernel-based nonparametric methods, kernel selection still requires considerable expertise, and is often described as a “black art.” We present a sophisticated method for automatically searching for an appropriate kernel from an infinite space of potential choices.
