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Siddhartha S. Srinivasa

Siddhartha S. Srinivasa

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
23581
World Ranking
607
National Ranking
271

Overview

Siddhartha S. Srinivasa is affiliated with the University of Washington in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, and Control and Systems Engineering. Additional areas of interest include Biomedical Engineering and Aerospace Engineering.

The scientist's work covers diverse topics within robotics and related disciplines. These topics include:

  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Reinforcement Learning in Robotics
  • Robotics and Sensor-Based Localization
  • Anomaly Detection Techniques and Applications
  • Modular Robots and Swarm Intelligence
  • Soft Robotics and Applications

Their recent papers illustrate a focus on human-robot collaboration, robotic navigation, and policy optimization for manipulation tasks. Notable recent publications include:

  • "Trust-Aware Decision Making for Human-Robot Collaboration" (2020), published in ACM Transactions on Human-Robot Interaction
  • "HARMONIC: A multimodal dataset of assistive human-robot collaboration" (2021), published in The International Journal of Robotics Research
  • "Git Re-Basin: Merging Models modulo Permutation Symmetries" (2022), published on arXiv (Cornell University)
  • "Winding Through: Crowd Navigation via Topological Invariance" (2022), published in IEEE Robotics and Automation Letters
  • "Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation" (2021), published on arXiv (Cornell University)

The scientist collaborates frequently with several researchers, including Christoforos Mavrogiannis, Sanjiban Choudhury, Tapomayukh Bhattacharjee, Ethan Kroll Gordon, and Brian Hou, indicating ongoing partnerships in areas related to human-robot interaction and robotic control.

Publications by Siddhartha S. Srinivasa appear extensively across multiple venues, with a particularly strong presence in:

  • arXiv (Cornell University)
  • The International Journal of Robotics Research
  • IEEE Robotics and Automation Letters
  • 2022 International Conference on Robotics and Automation (ICRA)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Best Publications

  • CHOMP: Gradient optimization techniques for efficient motion planning

    Nathan Ratliff;Matt Zucker;J. Andrew Bagnell;Siddhartha Srinivasa

  • Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic

    Jonathan D. Gammell;Siddhartha S. Srinivasa;Timothy D. Barfoot

  • CHOMP: Covariant Hamiltonian optimization for motion planning

    Matt Zucker;Nathan Ratliff;Anca D. Dragan;Mihail Pivtoraiko

  • The YCB object and Model set: Towards common benchmarks for manipulation research

    Berk Calli;Arjun Singh;Aaron Walsman;Siddhartha Srinivasa

  • Planning-based prediction for pedestrians

    Brian D. Ziebart;Nathan Ratliff;Garratt Gallagher;Christoph Mertz

  • Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

    Jonathan D. Gammell;Siddhartha S. Srinivasa;Timothy D. Barfoot

  • Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set

    Berk Calli;Aaron Walsman;Arjun Singh;Siddhartha Srinivasa

  • Legibility and predictability of robot motion

    Anca D. Dragan;Kenton C.T. Lee;Siddhartha S. Srinivasa

  • Brief paper: Decentralized estimation and control of graph connectivity for mobile sensor networks

    P. Yang;R. A. Freeman;G. J. Gordon;K. M. Lynch

  • The MOPED framework: Object recognition and pose estimation for manipulation

    Alvaro Collet;Manuel Martinez;Siddhartha S Srinivasa

  • Task Space Regions: A framework for pose-constrained manipulation planning

    Dmitry Berenson;Siddhartha Srinivasa;James Kuffner

  • A policy-blending formalism for shared control

    Anca D Dragan;Siddhartha S Srinivasa

  • HERB: a home exploring robotic butler

    Siddhartha S. Srinivasa;Dave Ferguson;Casey J. Helfrich;Dmitry Berenson

  • Manipulation planning on constraint manifolds

    Dmitry Berenson;Siddhartha S. Srinivasa;Dave Ferguson;James J. Kuffner

  • Yale-CMU-Berkeley dataset for robotic manipulation research:

    Berk Çalli;Arjun Singh;James Bruce;Aaron Walsman

  • Object recognition and full pose registration from a single image for robotic manipulation

    Alvaro Collet;Dmitry Berenson;Siddhartha S. Srinivasa;Dave Ferguson

  • Extrinsic dexterity: In-hand manipulation with external forces

    Nikhil Chavan Dafle;Alberto Rodriguez;Robert Paolini;Bowei Tang

  • Effects of Robot Motion on Human-Robot Collaboration

    Anca D. Dragan;Shira Bauman;Jodi Forlizzi;Siddhartha S. Srinivasa

  • Toward seamless human-robot handovers

    Kyle Strabala;Min Kyung Lee;Anca Dragan;Jodi Forlizzi

  • Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols.

    Berk Çalli;Aaron Walsman;Arjun Singh;Siddhartha S. Srinivasa

Frequent Co-Authors

Matthew T. Mason
Matthew T. Mason Carnegie Mellon University
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Howie Choset
Howie Choset Carnegie Mellon University
Aaron M. Dollar
Aaron M. Dollar Yale University
Joshua R. Smith
Joshua R. Smith University of Washington
Jizhong Xiao
Jizhong Xiao City University of New York
Kevin M. Lynch
Kevin M. Lynch Northwestern University
Dieter Fox
Dieter Fox University of Washington
Oliver Brock
Oliver Brock Technical University of Berlin

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