DocumentCode
117644
Title
Interleaving planning and control for efficient haptically-guided reaching in unknown environments
Author
Park, Daehyung ; Kapusta, Ariel ; Hawke, Jeffrey ; Kemp, Charles C.
Author_Institution
Healthcare Robot. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2014
fDate
18-20 Nov. 2014
Firstpage
809
Lastpage
816
Abstract
We present a new method for reaching in an initially unknown environment with only haptic sensing. In this paper, we propose a haptically-guided interleaving planning and control (HIPC) method with a haptic mapping framework. HIPC runs two planning methods, interleaving a task-space and a joint-space planner, to provide fast reaching performance. It continually replans a valid trajectory, alternating between planners and quickly reflecting collected tactile information from an unknown environment. One key idea is that tactile sensing can be used to directly map an immediate cause of interference when reaching. The mapping framework efficiently assigns raw tactile information from whole-arm tactile sensors into a 3D voxel-based collision map. Our method uses a previously published contact-regulating controller based on model predictive control (MPC). In our evaluation with a physics simulation of a humanoid robot, interleaving was superior at reaching in the 9 types of environments we used.
Keywords
humanoid robots; manipulators; planning; predictive control; tactile sensors; 3D voxel-based collision map; HIPC method; MPC; contact-regulating controller; haptic mapping framework; haptic sensing; haptically-guided interleaving planning and control; haptically-guided reaching; humanoid robot; model predictive control; physics simulation; tactile sensing; whole-arm tactile sensors; Haptic interfaces; Planning; Tactile sensors; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on
Conference_Location
Madrid
Type
conf
DOI
10.1109/HUMANOIDS.2014.7041456
Filename
7041456
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