2009 - ACM Senior Member
James J. Kuffner mainly investigates Motion planning, Robot, Artificial intelligence, Computer vision and Humanoid robot. His Motion planning study incorporates themes from Distributed computing, Mathematical optimization and Robot control, Mobile robot. The concepts of his Mathematical optimization study are interwoven with issues in Random tree and Kinodynamic planning.
His Robot study combines topics from a wide range of disciplines, such as Theoretical computer science and Human–computer interaction. When carried out as part of a general Artificial intelligence research project, his work on Robot kinematics, Motion and Grasp planning is frequently linked to work in Domain, therefore connecting diverse disciplines of study. His research in Computer vision intersects with topics in Inverse kinematics and Trajectory.
James J. Kuffner mainly focuses on Artificial intelligence, Robot, Computer vision, Motion planning and Humanoid robot. His Artificial intelligence study combines topics in areas such as Animation and Machine learning. He interconnects Planner and Human–computer interaction in the investigation of issues within Robot.
His work deals with themes such as Inverse kinematics, Computer graphics and Trajectory, which intersect with Computer vision. His Motion planning research incorporates elements of Control engineering, Robot kinematics, Mathematical optimization and Motion control. The various areas that he examines in his Humanoid robot study include Simulation and Robot control, Mobile robot.
James J. Kuffner mostly deals with Artificial intelligence, Computer vision, Object, Robot and Computer graphics. In his research on the topic of Artificial intelligence, Focus is strongly related with Machine learning. His study in Computer vision is interdisciplinary in nature, drawing from both Lens and Trajectory.
His Object study integrates concerns from other disciplines, such as Data modeling, Database, 3d model and Light field. His research combines Motion and Robot. His Motion research includes elements of Automatic control, Motion planning, Navigation function and Motion control.
James J. Kuffner focuses on Artificial intelligence, Computer vision, Real-time computing, Robot and Cloud computing. In his study, Focus is inextricably linked to Machine learning, which falls within the broad field of Artificial intelligence. James J. Kuffner is studying Object, which is a component of Computer vision.
He has included themes like Light field, 3d model, Information retrieval, Perspective and Trajectory in his Object study. His Real-time computing research integrates issues from Robotic systems and Service. James J. Kuffner is interested in Motion planning, which is a field of Robot.
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.
Randomized kinodynamic planning
Steven M. LaValle;James J. Kuffner.
The International Journal of Robotics Research (2001)
RRT-connect: An efficient approach to single-query path planning
J.J. Kuffner;S.M. LaValle.
international conference on robotics and automation (2000)
Automated construction of robotic manipulation programs
Takeo Kanade;James Kuffner;Rosen Diankov.
Footstep Planning for the Honda ASIMO Humanoid
J. Chestnutt;M. Lau;G. Cheung;J. Kuffner.
international conference on robotics and automation (2005)
OpenRAVE: A Planning Architecture for Autonomous Robotics
Rosen Diankov;James Kuffner.
Planning motions with intentions
Yoshihito Koga;Koichi Kondo;James Kuffner;Jean-Claude Latombe.
international conference on computer graphics and interactive techniques (1994)
HERB: a home exploring robotic butler
Siddhartha S. Srinivasa;Dave Ferguson;Casey J. Helfrich;Dmitry Berenson.
Autonomous Robots (2010)
Dynamically-Stable Motion Planning for Humanoid Robots
James J. Kuffner;Satoshi Kagami;Koichi Nishiwaki;Masayuki Inaba.
Autonomous Robots (2002)
Task Space Regions: A framework for pose-constrained manipulation planning
Dmitry Berenson;Siddhartha Srinivasa;James Kuffner.
The International Journal of Robotics Research (2011)
Cloud-based robot grasping with the google object recognition engine
Ben Kehoe;Akihiro Matsukawa;Sal Candido;James Kuffner.
international conference on robotics and automation (2013)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: