Vijay Kumar mainly focuses on Robot, Control theory, Mobile robot, Control engineering and Artificial intelligence. Vijay Kumar combines subjects such as Swarm behaviour, Distributed computing and Control theory with his study of Robot. His studies in Control theory integrate themes in fields like Kinematics and GRASP.
His Mobile robot study also includes fields such as
Vijay Kumar focuses on Robot, Artificial intelligence, Control theory, Control engineering and Mobile robot. The study incorporates disciplines such as Distributed computing and Trajectory in addition to Robot. His research combines Computer vision and Artificial intelligence.
His study in Control theory is interdisciplinary in nature, drawing from both Kinematics, Nonholonomic system and Motion control. Vijay Kumar works in the field of Control engineering, focusing on Control theory in particular. His Mobile robot study frequently links to other fields, such as Real-time computing.
His main research concerns Robot, Artificial intelligence, Distributed computing, Computer vision and Robustness. His research investigates the link between Robot and topics such as Trajectory that cross with problems in Motion planning. In his research, Motion capture is intimately related to Global Positioning System, which falls under the overarching field of Artificial intelligence.
His Distributed computing research is multidisciplinary, incorporating perspectives in Artificial neural network and Control. His Inertial measurement unit research incorporates elements of Odometry and Inertial frame of reference. He studies Control theory, a branch of Control theory.
His scientific interests lie mostly in Robot, Artificial intelligence, Computer vision, Distributed computing and Robustness. His Robot research incorporates themes from Swarm behaviour and Control theory. His Control theory research includes themes of Quadratic programming, Acceleration and Motion planning.
His Computer vision study deals with Tree intersecting with Point cloud, Pipeline and Semantic feature. Vijay Kumar has included themes like Control and Control theory in his Distributed computing study. Vijay Kumar works mostly in the field of Mobile robot, limiting it down to concerns involving Flocking and, occasionally, Telecommunications network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A vision-based formation control framework
A.K. Das;R. Fierro;V. Kumar;J.P. Ostrowski.
international conference on robotics and automation (2002)
Minimum snap trajectory generation and control for quadrotors
Daniel Mellinger;Vijay Kumar.
international conference on robotics and automation (2011)
Modeling and control of formations of nonholonomic mobile robots
J.P. Desai;J.P. Ostrowski;V. Kumar.
international conference on robotics and automation (2001)
Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor
R. Mahony;V. Kumar;P. Corke.
IEEE Robotics & Automation Magazine (2012)
Robotic grasping and contact: a review
A. Bicchi;V. Kumar.
international conference on robotics and automation (2000)
Controlling formations of multiple mobile robots
J.P. Desai;J. Ostrowski;V. Kumar.
international conference on robotics and automation (1998)
Trajectory generation and control for precise aggressive maneuvers with quadrotors
Daniel Mellinger;Nathan Michael;Vijay Kumar.
The International Journal of Robotics Research (2012)
H.G. Tanner;G.J. Pappas;V. Kumar.
IEEE Transactions on Robotics and Automation (2004)
The GRASP Multiple Micro-UAV Testbed
N Michael;D Mellinger;Q Lindsey;V Kumar.
IEEE Robotics & Automation Magazine (2010)
Cooperative manipulation and transportation with aerial robots
Nathan Michael;Jonathan Fink;Vijay Kumar.
Autonomous Robots (2011)
Profile was last updated on December 6th, 2021.
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