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O. Brock, L. Kavraki. "Decomposition-based Motion Planning: A Framework for Real-time Motion Planning in High-dimensional Configuration Spaces". In IEEE Int. Conf. on Robotics and Automation, 2001.

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Enhancing the Reactive Capabilities of Integrated Planning.. - Low, Leow, Ang, Jr. (2003)   (1 citation)  (Correct)

....use. In particular, the real time performance of existing integrated planning and control architectures is still not optimal because the reactive control capabilities have not been fully realized. Often, the workload of the high level planner far exceeds that of the low level reactive controller [5], 7] 10] 12] The planner produces the exact motion path with detailed sequence of actions to be executed by the actuators. The reactive controller performs only a single task, i.e. simple local obstacle avoidance, by correcting the course of action. Hence, the work presented in this paper ....

O. Brock and L. E. Kavraki. Decomposition-based motion planning: A framework for real-time motion planning in high-dimensional configuration spaces. In Proceedings of IEEE International Conference on Robotics and Automation, volume 2, pages 1469--1474, 2001.


A Hybrid Mobile Robot Architecture with Integrated Planning .. - Low, Leow, Ang, Jr. (2002)   (1 citation)  (Correct)

....capability, and complexity of computation. Their strengths are complementary and their weaknesses can be mitigated by combining the two approaches in a hybrid architecture. Among the existing hybrid frameworks, 2, 3, 12, 14, 16, 28, 31, 32] emphasize high level task planning. On the other hand, [5, 6, 10, 23, 29] focus on integrating low level reactive motor control with motion path planning. This paper describes a method for goal directed, collisionfree navigation in complex, unpredictable environments that employs a behavior based hybrid architecture with asynchronously operating behavioral modules. It ....

O. Brock and L. E. Kavraki. Decomposition-based motion planning: A framework for real-time motion planning in high-dimensional configuration spaces. In Proc. ICRA, volume 2, pages 1469--1474, 2001.


mPlanner: Robot Motion Planning based on Interaction of Planner.. - Wösch   (Correct)

....long time, recent work was focussed on combining planning techniques with fast reactive control schemes [6, 7] A computed path need not necessarily be re planned by the planner even if the environment changes. The reactive control structure modifies the path in a way that collisions do not occur. [8, 9] proposed frameworks where reactive control schemes are merged with planning components. The man machine interaction scenario in dynamic environments with moderate complexity requires a fast responding robot. Therefore this work proposes an integrated control architecture: A computationally ....

O. Brock and L. E. Kavraki, "Decomposition-based Motion Planning: A Framework for Real-time Motion Planning in High-dimensional Configuration Spaces", in International Conference on Robotics and Automation, vol. 2, (Seoul, South Korea), pp. 1469--1474, May 2001.


Integrated Planning and Control of Mobile Robot with.. - Low, Leow, Ang, Jr. (2002)   (Correct)

....rates and priority levels. The work presented in this paper is a step towards the full integration of task planning and motion control, motivated by Khatib s seminal work [17] that formulates a general framework for robot planning and control. This work and a few other integrated architectures [2, 5, 6, 8, 13, 19] have utilized methods based on potential fields [14] in their reactive control algorithms, while their planning and interface techniques differ. Potential field methods are implementations of continuous response encoding [1] infinite space of responses) which makes low level control possible. ....

O. Brock and L. E. Kavraki. Decomposition-based motion planning: A framework for real-time motion planning in high-dimensional configuration spaces. In Proc. ICRA, volume 2, pages 1469--1474, 2001.


A Hybrid Mobile Robot Architecture with Integrated Planning and.. - Low, al. (2002)   (1 citation)  (Correct)

....capability, and complexity of computation. Their strengths are complementary and their weaknesses can be mitigated by combining the two approaches in a hybrid architecture. Among the existing hybrid frameworks, 2, 3, 12, 14, 16, 29, 32, 33] emphasize high level task planning. On the other hand, [5, 6, 10, 23, 30] focus on integrating low level reactive motor control with motion path planning. This paper describes a method for goal directed, collisionfree navigation in complex, unpredictable environments that employs a behavior based hybrid architecture with asynchronously operating behavioral modules. It ....

O. Brock and L. E. Kavraki. Decomposition-based motion planning: A framework for real-time motion planning in high-dimensional con guration spaces. In Proc. ICRA, volume 2, pages 1469-1474, 2001.


A Framework For Humanoid Control and - Intelligence Robert Platt   Self-citation (Brock)   (Correct)

No context found.

Oliver Brock and Lydia E. Kavraki. Decomposition-based motion planning: A framework for real-time motion planning in high-dimensional con guration spaces. In Proceedings of the International Conference on Robotics and Automation, pages 1469-1474, Seoul, Korea, 2001.


A PRM-based Motion Planner for Dynamically - Changing Environments Lonard   (Correct)

No context found.

O. Brock, L. Kavraki. "Decomposition-based Motion Planning: A Framework for Real-time Motion Planning in High-dimensional Configuration Spaces". In IEEE Int. Conf. on Robotics and Automation, 2001.

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