Task Space Motion Planning Decomposition @ICRA-cg8kk
Task Space Motion Planning Decomposition  @ICRA-cg8kk
Uploaded May 2018 | Updated September 2026, 2 weeks ago
ICRA 2018 Spotlight Video
Interactive Session Tue PM Pod G.1
Authors: Larkin, Nathan; Short, Andrew; Pan, Zengxi; van Duin, Stephen
Title: Task Space Motion Planning Decomposition

Abstract:
In autonomous robotics there are many situations that require solving a motion planning problem to complete a task. A Task Space (T-Space), composed of parameters that define the task being performed, can be a more effective planning space for these problems, however, planning within a T-Space is often computationally challenging. In this paper, we present a novel method to analyse the relationship between T-Space parameters and the pose of manipulator bodies to create a dependency matrix. We then use this information to decompose the motion planning problem into sequential lower complexity sub-problems. We call this approach Task Space Motion Planning Decomposition (TSMPD). This paper introduces TSMPD and quantifies the improvement to planning efficiency on a challenging maze navigation problem and weld path planning problem.
Task Space Motion Planning DecompositionDeep Trail-Following Robotic Guide Dog in Pedestrian Environments for People Who Are Blind and VisuaHigh Speed Whole Body Dynamic Motion Experiment with Real Time Master-Slave Humanoid Robot SystemRobust and Fast 3D Scan Alignment Using Mutual InformationModelling Resource Contention in Multi-Robot Task Allocation Problems with Uncertain TimingNetwork Topology Inference in Swarm RoboticsGaussian Process Adaptive Sampling using the Cross-Entropy Method for Environmental Sensing and MoniUncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Vari1-Actuator 3-DoF Manipulation Using a Virtual Turntable Based on Differential Friction SurfaceOptimal Intermittent Deployment and Sensor Selection for Environmental Sensing with Multi-Robot TeamHuman-In-The-Loop Mixed-Initiative Control under Temporal TasksAlgorithm for Optimal Chance Constrained Knapsack Problem with Applications to Multi-Robot Teaming
ICRA 2018 |

Task Space Motion Planning Decomposition

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER