Concepedia

Daniel Seita

DS

26

Publications

966

Citations

19

H-Index

2016

Active since

Affiliations

University of California, Berkeley(Current)

Honda (United States)

SRI International

University of California, San Francisco

Toyota Research Institute

Daniel Seita is an author at University of California, Berkeley specializing in engineering, robot learning, and robotics.

Top concepts

EngineeringRobot LearningRoboticsComputer VisionKinematicsComputer ScienceMachine LearningArtificial IntelligenceMachine VisionField Robotics

Publications per year

2016–2023

26

Publications

26

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks

Daniel Seita, Pete Florence, Jonathan Tompson et al. · 2021 · 120 citations

Artificial Intelligence, Engineering, Dexterous Manipulation +27

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

Daniel Seita, Aditya Ganapathi, Ryan Hoque et al. · 2020 · 103 citations

Artificial Intelligence, Engineering, Machine Learning +22

Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure

Daniel Seita, Sanjay Krishnan, Roy Fox et al. · 2018 · 76 citations

Red Calibration Marker, Convolutional Neural Network, Engineering +24

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation

Ryan Hoque, Daniel Seita, Ashwin Balakrishna et al. · 2020 · 69 citations · Full text

Engineering, Dexterous Manipulation, Field Robotics +20

Risk Averse Robust Adversarial Reinforcement Learning

Xinlei Pan, Daniel Seita, Yang Gao et al. · 2019 · 64 citations

Artificial Intelligence, Robotic Control Tasks, Reward Hacking +13

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