activity
20192022
most citedThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning

19 citations · 31 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.RO202119 cited

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning

Ryan Hoque, Ashwin Balakrishna, Ellen Novoseller +3

Effective robot learning often requires online human feedback and interventions that can cost significant human time, giving rise to the central challenge in interactive imitation…

cs.RO20212 cited

Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities

Shivin Devgon, Jeffrey Ichnowski, Michael Danielczuk +6

In industrial part kitting, 3D objects are inserted into cavities for transportation or subsequent assembly. Kitting is a critical step as it can decrease downstream processing and…

cs.RO2021

Situational Confidence Assistance for Lifelong Shared Autonomy

Matthew Zurek, Andreea Bobu, Daniel S. Brown +1

Shared autonomy enables robots to infer user intent and assist in accomplishing it. But when the user wants to do a new task that the robot does not know about, shared autonomy wil…

cs.RO2021

Optimal Cost Design for Model Predictive Control

Avik Jain, Lawrence Chan, Daniel S. Brown +1

Many robotics domains use some form of nonconvex model predictive control (MPC) for planning, which sets a reduced time horizon, performs trajectory optimization, and replans at ev…

cs.RO2021

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

Ryan Hoque, Ashwin Balakrishna, Carl Putterman +6

Corrective interventions while a robot is learning to automate a task provide an intuitive method for a human supervisor to assist the robot and convey information about desired be…