His primary scientific interests are in Robot, Artificial intelligence, Mobile robot, Social robot and Human–computer interaction. Reid Simmons studies Human–robot interaction which is a part of Robot. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Computer vision.
Reid Simmons interconnects Simulation and Motion planning in the investigation of issues within Mobile robot. In his research, Compiler and Automotive industry is intimately related to Task, which falls under the overarching field of Social robot. His Human–computer interaction research incorporates elements of Telerobotics and User interface.
Reid Simmons focuses on Robot, Artificial intelligence, Mobile robot, Human–computer interaction and Social robot. His biological study spans a wide range of topics, including Simulation and Task. The study incorporates disciplines such as Domain, Partially observable Markov decision process, Machine learning and Computer vision in addition to Artificial intelligence.
As a member of one scientific family, Reid Simmons mostly works in the field of Domain, focusing on State space and, on occasion, Algorithm. His work carried out in the field of Mobile robot brings together such families of science as Real-time computing and Distributed computing. His Robot control research integrates issues from Control engineering and Mobile manipulator.
Reid Simmons mainly investigates Robot, Artificial intelligence, Human–computer interaction, Mobile robot and Social robot. His Robot study focuses on Personal robot in particular. His studies in Artificial intelligence integrate themes in fields like Machine learning and Computer vision.
His Human–computer interaction research includes themes of Mobile robot navigation and Uncanny valley. His Mobile robot navigation study integrates concerns from other disciplines, such as Domain and Motion planning. His Robot control and Robot kinematics study are his primary interests in Mobile robot.
Robot, Artificial intelligence, Mobile robot, Social robot and Task are his primary areas of study. His Robot research incorporates themes from Nonverbal communication and Human–computer interaction. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computer vision and Action.
His Mobile robot study combines topics in areas such as Motion, Representation, Probabilistic logic, Set and Operations research. His Social robot research focuses on subjects like Mobile robot navigation, which are linked to Simple Features and Motion planning. His Task research is multidisciplinary, relying on both Automation, Mobile manipulator, Embedded system and Control engineering.
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Collaborative multi-robot exploration
W. Burgard;M. Moors;D. Fox;R. Simmons.
international conference on robotics and automation (2000)
Collaborative multi-robot exploration
W. Burgard;M. Moors;D. Fox;R. Simmons.
international conference on robotics and automation (2000)
Probabilistic robot navigation in partially observable environments
Reid Simmons;Sven Koenig.
international joint conference on artificial intelligence (1995)
Probabilistic robot navigation in partially observable environments
Reid Simmons;Sven Koenig.
international joint conference on artificial intelligence (1995)
The curvature-velocity method for local obstacle avoidance
R. Simmons.
international conference on robotics and automation (1996)
The curvature-velocity method for local obstacle avoidance
R. Simmons.
international conference on robotics and automation (1996)
Coordination for Multi-Robot Exploration and Mapping
Reid G. Simmons;David Apfelbaum;Wolfram Burgard;Dieter Fox.
national conference on artificial intelligence (2000)
Coordination for Multi-Robot Exploration and Mapping
Reid G. Simmons;David Apfelbaum;Wolfram Burgard;Dieter Fox.
national conference on artificial intelligence (2000)
Heuristic search value iteration for POMDPs
Trey Smith;Reid Simmons.
uncertainty in artificial intelligence (2004)
Heuristic search value iteration for POMDPs
Trey Smith;Reid Simmons.
uncertainty in artificial intelligence (2004)
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