His primary scientific interests are in Artificial intelligence, Robot, Mobile robot, Motion planning and Computer vision. His study explores the link between Artificial intelligence and topics such as Markov decision process that cross with problems in State. His Robot study combines topics from a wide range of disciplines, such as Sensor fusion and Human–computer interaction.
His Mobile robot research includes elements of Real-time computing and Position. His studies in Motion planning integrate themes in fields like Simulation, Mathematical optimization and Trajectory. His studies deal with areas such as Visual navigation, Novelty detection, Odometry, Robot kinematics and Visual odometry as well as Computer vision.
His main research concerns Artificial intelligence, Robot, Machine learning, Human–computer interaction and Computer vision. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Partially observable Markov decision process and, in certain cases, Domain knowledge, as a part of the same area of interest. In Robot, he works on issues like Natural language, which are connected to Inference.
His research ties Human–robot interaction and Human–computer interaction together. He has researched Computer vision in several fields, including Simultaneous localization and mapping and Motion planning. His study looks at the relationship between Motion planning and topics such as Trajectory, which overlap with Mathematical optimization.
His primary areas of study are Artificial intelligence, Robot, Task, Machine learning and Motion planning. His research investigates the connection between Artificial intelligence and topics such as Computer vision that intersect with problems in Sequence. His research integrates issues of Object, Representation, Natural language and Human–computer interaction in his study of Robot.
His research in Human–computer interaction intersects with topics in Semantic memory, Estimation, Natural language understanding and Human–robot interaction. His study in Machine learning is interdisciplinary in nature, drawing from both Stimulus, Training set, Baseline and Psychophysics. His Motion planning study combines topics in areas such as Real-time computing, Mathematical optimization, Theoretical computer science and Metric.
Nicholas Roy spends much of his time researching Robot, Artificial intelligence, Natural language, Obstacle avoidance and Motion planning. His study in the fields of Mobile robot under the domain of Robot overlaps with other disciplines such as Grippers. His Mobile robot study incorporates themes from Probabilistic logic, Object type and Phrase, Natural language processing.
He has included themes like Machine learning, Computer vision and Sequence in his Artificial intelligence study. Within one scientific family, Nicholas Roy focuses on topics pertaining to Human–computer interaction under Natural language, and may sometimes address concerns connected to Natural language interaction, Representation, Human–robot interaction and Robot learning. His research in Motion planning tackles topics such as Real-time computing which are related to areas like Pose, Autonomous system and Search and rescue.
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Toward Optimal Active Learning through Sampling Estimation of Error Reduction
Nicholas Roy;Andrew McCallum.
international conference on machine learning (2001)
MINERVA: a second-generation museum tour-guide robot
S. Thrun;M. Bennewitz;W. Burgard;A.B. Cremers.
international conference on robotics and automation (1999)
Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera
Albert S. Huang;Abraham Bachrach;Peter Henry;Michael Krainin.
international symposium on robotics (2017)
Towards robotic assistants in nursing homes: Challenges and results
Joelle Pineau;Michael Montemerlo;Martha E. Pollack;Nicholas Roy.
Robotics and Autonomous Systems (2003)
Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva
Sebastian Thrun;Michael Beetz;Maren Bennewitz;Wolfram Burgard.
The International Journal of Robotics Research (2000)
Understanding natural language commands for robotic navigation and mobile manipulation
Stefanie Tellex;Thomas Kollar;Steven Dickerson;Matthew R. Walter.
national conference on artificial intelligence (2011)
Perspectives on standardization in mobile robot programming: the Carnegie Mellon Navigation (CARMEN) Toolkit
M. Montemerlo;N. Roy;S. Thrun.
intelligent robots and systems (2003)
Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments
Charles Richter;Adam Bry;Nicholas Roy.
Rapidly-exploring Random Belief Trees for motion planning under uncertainty
Adam Bry;Nicholas Roy.
international conference on robotics and automation (2011)
Experiences with a mobile robotic guide for the elderly
Michael Montemerlo;Joelle Pineau;Nicholas Roy;Sebastian Thrun.
national conference on artificial intelligence (2002)
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