activity
20192025
most citedDexterous In-hand Manipulation by Guiding Exploration with Simple Sub-skill Controllers

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2025

Towards Human-level Dexterity via Robot Learning

Gagan Khandate

Dexterous intelligence -- the ability to perform complex interactions with multi-fingered hands -- is a pinnacle of human physical intelligence and emergent higher-order cognitive…

cs.RO2025

Train Robots in a JIF: Joint Inverse and Forward Dynamics with Human and Robot Demonstrations

Gagan Khandate, Boxuan Wang, Sarah Park +7

Pre-training on large datasets of robot demonstrations is a powerful technique for learning diverse manipulation skills but is often limited by the high cost and complexity of coll…

cs.RO2024

RR: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training

Gagan Khandate, Tristan L. Saidi, Siqi Shang +5

We present a method for enabling Reinforcement Learning of motor control policies for complex skills such as dexterous manipulation. We posit that a key difficulty for training suc…

cs.RO2023★ 1 cited

Dexterous In-hand Manipulation by Guiding Exploration with Simple Sub-skill Controllers

Gagan Khandate, Cameron Mehlman, Xingsheng Wei +1

Recently, reinforcement learning has led to dexterous manipulation skills of increasing complexity. Nonetheless, learning these skills in simulation still exhibits poor sample-effi…

cs.RO2023★ 1 cited

Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation

Gagan Khandate, Siqi Shang, Eric T. Chang +5

In this paper, we present a novel method for achieving dexterous manipulation of complex objects, while simultaneously securing the object without the use of passive support surfac…

cs.RO2021

On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing

Gagan Khandate, Maxmillian Haas-Heger, Matei Ciocarlie

Finger-gaiting manipulation is an important skill to achieve large-angle in-hand re-orientation of objects. However, achieving these gaits with arbitrary orientations of the hand i…

cs.RO2019

Automatic Snake Gait Generation Using Model Predictive Control

Emily Hannigan, Bing Song, Gagan Khandate +3

In this paper, we propose a method for generating undulatory gaits for snake robots. Instead of starting from a pre-defined movement pattern such as a serpenoid curve, we use a Mod…