most citedReinforcement Learning for Pivoting Task

35 citations · 114 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO201911 cited

Bayesian Optimization in Variational Latent Spaces with Dynamic Compression

Rika Antonova, Akshara Rai, Tianyu Li +1

Data-efficiency is crucial for autonomous robots to adapt to new tasks and environments. In this work we focus on robotics problems with a budget of only 10-20 trials. This is a ve…

cs.RO2019

Object Placement Planning and Optimization for Robot Manipulators

Joshua A. Haustein, Kaiyu Hang, Johannes Stork +1

We address the problem of motion planning for a robotic manipulator with the task to place a grasped object in a cluttered environment. In this task, we need to locate a collision-…

cs.RO201913 cited

Dual-Arm In-Hand Manipulation and Regrasping Using Dexterous Manipulation Graphs

Silvia Cruciani, Kaiyu Hang, Christian Smith +1

This work focuses on the problem of in-hand manipulation and regrasping of objects with parallel grippers. We propose Dexterous Manipulation Graph (DMG) as a representation on whic…

cs.RO20171 cited

A Decomposition-Based Approach to Reasoning about Free Space Path-Connectivity for Rigid Objects in 2D

Anastasiia Varava, J. Frederico Carvalho, Danica Kragic +1

In this paper, we compute a conservative approximation of the path-connected components of the free space of a rigid object in a 2D workspace in order to solve two closely related…

cs.RO201719 cited

Human-Robot Collaboration: From Psychology to Social Robotics

Judith Bütepage, Danica Kragic

With the advances in robotic technology, research in human-robot collaboration (HRC) has gained in importance. For robots to interact with humans autonomously they need active deci…

cs.RO201716 cited

Deep Predictive Policy Training using Reinforcement Learning

Ali Ghadirzadeh, Atsuto Maki, Danica Kragic +1

Skilled robot task learning is best implemented by predictive action policies due to the inherent latency of sensorimotor processes. However, training such predictive policies is c…