Real-time path planning for humanoid robot navigation
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Interactive control of humanoid navigation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Autonomous navigation of a humanoid robot over unknown rough terrain using a laser range sensor
International Journal of Robotics Research
Learning motion controllers with adaptive depth perception
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Learning motion controllers with adaptive depth perception
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
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We present an approach to navigating a biped robot safely and efficiently through a complicated environment of previously unknown obstacles and terrain using only on-board sensing and odometry. Sensing of the environment is performed by a pivoting laser scanner, which continues to update the terrain representation as the robot walks. Safe stepping motions are planned from this data to follow the user's command, given in the form of an end goal, a rough path, or a joystick input. Results are demonstrated on a prototype robot in several environments.