World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
112
Citations
55241
World Ranking
206
National Ranking
117

Research.com Recognitions

  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to robotics and multi-agent simulation.
  • 2012 - IEEE Fellow For contributions to robot motion planning, rapid prototyping, and virtual environments
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - ACM Fellow For contributions to geometric computing and applications to computer graphics, robotics and GPU computing.
  • 1995 - Fellow of Alfred P. Sloan Foundation

Overview

Dinesh Manocha is affiliated with the University of Maryland, College Park in the United States. Their research spans key areas within computer science and engineering, with an emphasis on robotics, computer vision, and artificial intelligence. Manocha has contributed extensively to multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing, and Aerospace Engineering.

Their main fields of study reflect a prolific output in Computer Science with 578 publications and Engineering with 295 publications. Manocha's work explores a variety of topics such as Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Speech and Audio Processing, Multimodal Machine Learning Applications, Autonomous Vehicle Technology and Safety, Human Pose and Action Recognition, and Music and Audio Processing.

Recent published papers by Dinesh Manocha include:

  • P-cloth, 2020, ACM Transactions on Graphics
  • M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments, 2022, IEEE Robotics and Automation Letters
  • An autonomous excavator system for material loading tasks, 2021, Science Robotics
  • Spoken language interaction with robots: Recommendations for future research, 2021, Computer Speech & Language

Frequent co-authors who have collaborated with Manocha include Tianrui Guan, Adarsh Jagan Sathyamoorthy, Amrit Singh Bedi, Sreyan Ghosh, and Kasun Weerakoon. These collaborations reflect a consistent interdisciplinary approach across robotics and AI applications.

Manocha has published extensively in notable venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, UNC Libraries, IEEE Transactions on Visualization and Computer Graphics, and ACM Transactions on Graphics. The large volume of publications in arXiv suggests an active engagement with preprint dissemination and open research.

In addition to research articles, Manocha has authored books published by Morgan & Claypool Publishers. These include "Sound Synthesis, Propagation, and Rendering" (2022) and "Explainable and Interpretable Reinforcement Learning for Robotics" (2024), contributing to foundational knowledge in robotics and machine learning.

Awards and distinctions awarded to Manocha reflect recognition by several prestigious organizations. These include being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2018 for contributions to robotics and multi-agent simulation, an IEEE Fellow in 2012 for work in robot motion planning and virtual environments, a Fellow of the American Association for the Advancement of Science (AAAS) in 2010, an ACM Fellow in 2009 for contributions to geometric computing and applications, and Fellowship from the Alfred P. Sloan Foundation in 1995.

Best Publications

  • OBBTree: a hierarchical structure for rapid interference detection

    S. Gottschalk;M. C. Lin;D. Manocha

  • Reciprocal n-Body Collision Avoidance

    Jur van den Berg;Stephen J. Guy;Ming C. Lin;Dinesh Manocha

  • Reciprocal Velocity Obstacles for real-time multi-agent navigation

    J. van den Berg;Ming Lin;D. Manocha

  • I-COLLIDE: an interactive and exact collision detection system for large-scale environments

    Jonathan D. Cohen;Ming C. Lin;Dinesh Manocha;Madhav Ponamgi

  • Fast computation of generalized Voronoi diagrams using graphics hardware

    Kenneth E. Hoff;John Keyser;Ming Lin;Dinesh Manocha

  • Simplification envelopes

    Jonathan Cohen;Amitabh Varshney;Dinesh Manocha;Greg Turk

  • Fast computation of database operations using graphics processors

    Naga K. Govindaraju;Brandon Lloyd;Wei Wang;Ming Lin

  • Appearance-preserving simplification

    Jonathan Cohen;Marc Olano;Dinesh Manocha

  • Development and application of the new dynamic Nurbs-based Cardiac-Torso (NCAT) phantom.

    WP Segars;BM Tsui;DS Lalush;EC Frey

  • GPUTeraSort: high performance graphics co-processor sorting for large database management

    Naga Govindaraju;Jim Gray;Ritesh Kumar;Dinesh Manocha

  • FCL: A general purpose library for collision and proximity queries

    Jia Pan;Sachin Chitta;Dinesh Manocha

  • Fast BVH Construction on GPUs

    Christian Lauterbach;Michael Garland;Shubhabrata Sengupta;David P. Luebke

  • Visibility culling using hierarchical occlusion maps

    Hansong Zhang;Dinesh Manocha;Tom Hudson;Kenneth E. Hoff

  • The Hybrid Reciprocal Velocity Obstacle

    J. Snape;J. van den Berg;S. J. Guy;D. Manocha

  • CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

    Naga K. Govindaraju;Stephane Redon;Ming C. Lin;Dinesh Manocha

  • Efficient inverse kinematics for general 6R manipulators

    D. Manocha;J.F. Canny

  • TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

    Yuexin Ma;Xinge Zhu;Sibo Zhang;Ruigang Yang

  • ClearPath: highly parallel collision avoidance for multi-agent simulation

    Stephen. J. Guy;Jatin Chhugani;Changkyu Kim;Nadathur Satish

  • DAB: interactive haptic painting with 3D virtual brushes

    Bill Baxter;Vincent Scheib;Ming C. Lin;Dinesh Manocha

  • Fast distance queries with rectangular swept sphere volumes

    E. Larsen;S. Gottschalk;M.C. Lin;D. Manocha

  • Fast computation of generalized Voronoi diagrams using graphics hardware

    Kenneth E. Hoff;Tim Culver;John Keyser;Ming Lin

Frequent Co-Authors

Ming C. Lin
Ming C. Lin University of Maryland, College Park
Jia Pan
Jia Pan University of Hong Kong
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Sung-Eui Yoon
Sung-Eui Yoon Korea Advanced Institute of Science and Technology
Kurt Gray
Kurt Gray University of North Carolina at Chapel Hill
Jur van den Berg
Jur van den Berg University of Utah
John Canny
John Canny University of California, Berkeley
Ruofeng Tong
Ruofeng Tong Zhejiang University
Ruigang Yang
Ruigang Yang University of Kentucky

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