9 citations · 18 across the 6 of their papers we have counts for
6 papers
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies
Sarvesh Patil, Mitsuhiko Nakamoto, Manan Agarwal +14
Generative control policies (GCPs), such as diffusion- and flow-based control policies, have emerged as effective parameterizations for robot learning. This work introduces Off-pol…
Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration
Xianyi Cheng, Sarvesh Patil, Zeynep Temel +2
Planning robot dexterity is challenging due to the non-smoothness introduced by contacts, intricate fine motions, and ever-changing scenarios. We present a hierarchical planning fr…
DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and Education
Sarvesh Patil, Samuel C. Alvares, Pragna Mannam +2
This paper presents the DeltaZ robot, a centimeter-scale, low-cost, delta-style robot that allows for a broad range of capabilities and robust functionalities. Current technologies…
Linear Delta Arrays for Compliant Dexterous Distributed Manipulation
Sarvesh Patil, Tony Tao, Tess Hellebrekers +2
This paper presents a new type of distributed dexterous manipulator: delta arrays. Our delta array setup consists of 64 linearly-actuated delta robots with 3D-printed compliant lin…
Multi-Modal Super Resolution for Dense Microscopic Particle Size Estimation
Sarvesh Patil, Chava Y P D Phani Rajanish, Naveen Margankunte
Particle Size Analysis (PSA) is an important process carried out in a number of industries, which can significantly influence the properties of the final product. A ubiquitous inst…
Deep Learning Based Natural Language Processing for End to End Speech Translation
Sarvesh Patil
Deep Learning methods employ multiple processing layers to learn hierarchial representations of data. They have already been deployed in a humongous number of applications and have…