Alonzo Kelly mainly focuses on Motion planning, Artificial intelligence, Control engineering, Robot and Mobile robot. His Motion planning study incorporates themes from Algorithm, State, Systems engineering and Motion control. Alonzo Kelly works mostly in the field of Systems engineering, limiting it down to topics relating to System testing and, in certain cases, Layer, as a part of the same area of interest.
His study in the fields of Robotics, Odometry and Intelligent control under the domain of Artificial intelligence overlaps with other disciplines such as Inertial navigation system. His research in Control engineering intersects with topics in Simultaneous localization and mapping and Model predictive control. The Mobile robot study combines topics in areas such as Unmanned ground vehicle, Real-time computing and Nonlinear programming.
Alonzo Kelly mainly investigates Mobile robot, Artificial intelligence, Robot, Motion planning and Control theory. His work in Mobile robot covers topics such as Simulation which are related to areas like Model predictive control. Computational complexity theory is closely connected to Computer vision in his research, which is encompassed under the umbrella topic of Artificial intelligence.
His research on Motion planning also deals with topics like
The scientist’s investigation covers issues in Mobile robot, Robot, Artificial intelligence, Simulation and Control theory. His Mobile robot study integrates concerns from other disciplines, such as Control engineering and Motion control. Alonzo Kelly interconnects Machine learning and Computer vision in the investigation of issues within Artificial intelligence.
His work carried out in the field of Simulation brings together such families of science as Data science and Trajectory. His work on Path following and Optimal control as part of general Control theory research is frequently linked to Experimental validation, bridging the gap between disciplines. His work blends Slip and Motion planning studies together.
His primary areas of study are Robot, Artificial intelligence, Expectation–maximization algorithm, Point cloud and Control engineering. His study in Robot focuses on Motion planning in particular. His Motion planning study combines topics in areas such as Artificial neural network, Kalman filter and Simulation.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computational complexity theory and Human–computer interaction. The various areas that Alonzo Kelly examines in his Control engineering study include High fidelity, Vehicle dynamics and Nonlinear system. When carried out as part of a general Mobile robot research project, his work on Obstacle avoidance is frequently linked to work in Graph theory, therefore connecting diverse disciplines of study.
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Autonomous driving in urban environments: Boss and the Urban Challenge
Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker.
Journal of Field Robotics (2008)
Differentially constrained mobile robot motion planning in state lattices
Mihail Pivtoraiko;Ross A. Knepper;Alonzo Kelly.
Journal of Field Robotics (2009)
Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots
Thomas M. Howard;Alonzo Kelly.
The International Journal of Robotics Research (2007)
Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments
Alonzo Kelly;Anthony Stentz;Omead Amidi;Mike Bode.
The International Journal of Robotics Research (2006)
Reactive Nonholonomic Trajectory Generation via Parametric Optimal Control
Alonzo Kelly;Bryan Nagy.
The International Journal of Robotics Research (2003)
Obstacle detection for unmanned ground vehicles: a progress report
L. Matthies;A. Kelly;T. Litwin;G. Tharp.
intelligent vehicles symposium (1995)
State space sampling of feasible motions for high-performance mobile robot navigation in complex environments
Thomas M. Howard;Colin J. Green;Alonzo Kelly;Dave Ferguson.
field and service robotics (2008)
Infrastructure independent position determining system
Alonzo James Kelly;Robert Craig Coulter.
Linearized Error Propagation in Odometry
The International Journal of Robotics Research (2004)
Rough Terrain Autonomous Mobility—Part 2: An Active Vision, Predictive Control Approach
Alonzo Kelly;Anthony Stentz.
Autonomous Robots (1998)
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