Legged robots that balance
The complexity of robot motion planning
The complexity of robot motion planning
Robot motion planning: a distributed representation approach
International Journal of Robotics Research
OBBTree: a hierarchical structure for rapid interference detection
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Biped Locomotion
Robust hybrid control for autonomous vehicle motion planning
Robust hybrid control for autonomous vehicle motion planning
Journal of Artificial Intelligence Research
Synthesizing animations of human manipulation tasks
ACM SIGGRAPH 2004 Papers
Composition of complex optimal multi-character motions
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
A Novel Method of Gait Synthesis for Bipedal Fast Locomotion
Journal of Intelligent and Robotic Systems
Whole-Body Locomotion, Manipulation and Reaching for Humanoids
Motion in Games
Real-time path planning for humanoid robot navigation
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Motion Planning and Synthesis of Human-Like Characters in Constrained Environments
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Unified motion planning of passing under obstacles with humanoid robots
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Instant prediction for reactive motions with planning
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Interactive control of humanoid navigation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Decentralized planning for dynamic motion generation of multi-link robotic systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Real-time path planning for humanoid robot
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Adaptive motion control: dynamic kick for a humanoid robot
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Learning Non-linear Multivariate Dynamics of Motion in Robotic Manipulators
International Journal of Robotics Research
Bounding on rough terrain with the LittleDog robot
International Journal of Robotics Research
Planning foot placements for a humanoid robot: A problem of inverse kinematics
International Journal of Robotics Research
Sampling-based algorithms for optimal motion planning
International Journal of Robotics Research
Path planning for crawler crane using RRT*
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Motion planning and reactive control on learnt skill manifolds
International Journal of Robotics Research
Biologically inspired layered learning in humanoid robots
Knowledge-Based Systems
Hi-index | 0.00 |
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of the environment and a statically-stable desired posture, we search the configuration space of the robot for a collision-free path that simultaneously satisfies dynamic balance constraints. We adapt existing randomized path planning techniques by imposing balance constraints on incremental search motions in order to maintain the overall dynamic stability of the final path. A dynamics filtering function that constrains the ZMP (zero moment point) trajectory is used as a post-processing step to transform statically-stable, collision-free paths into dynamically-stable, collision-free trajectories for the entire body. Although we have focused our experiments on biped robots with a humanoid shape, the method generally applies to any robot subject to balance constraints (legged or not). The algorithm is presented along with computed examples using both simulated and real humanoid robots.