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:
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.
S. Gottschalk;M. C. Lin;D. Manocha
Jur van den Berg;Stephen J. Guy;Ming C. Lin;Dinesh Manocha
J. van den Berg;Ming Lin;D. Manocha
Jonathan D. Cohen;Ming C. Lin;Dinesh Manocha;Madhav Ponamgi
Kenneth E. Hoff;John Keyser;Ming Lin;Dinesh Manocha
Jonathan Cohen;Amitabh Varshney;Dinesh Manocha;Greg Turk
Naga K. Govindaraju;Brandon Lloyd;Wei Wang;Ming Lin
Jonathan Cohen;Marc Olano;Dinesh Manocha
WP Segars;BM Tsui;DS Lalush;EC Frey
Naga Govindaraju;Jim Gray;Ritesh Kumar;Dinesh Manocha
Jia Pan;Sachin Chitta;Dinesh Manocha
Christian Lauterbach;Michael Garland;Shubhabrata Sengupta;David P. Luebke
Hansong Zhang;Dinesh Manocha;Tom Hudson;Kenneth E. Hoff
J. Snape;J. van den Berg;S. J. Guy;D. Manocha
Naga K. Govindaraju;Stephane Redon;Ming C. Lin;Dinesh Manocha
D. Manocha;J.F. Canny
Yuexin Ma;Xinge Zhu;Sibo Zhang;Ruigang Yang
Stephen. J. Guy;Jatin Chhugani;Changkyu Kim;Nadathur Satish
Bill Baxter;Vincent Scheib;Ming C. Lin;Dinesh Manocha
E. Larsen;S. Gottschalk;M.C. Lin;D. Manocha
Kenneth E. Hoff;Tim Culver;John Keyser;Ming Lin
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 51
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