On-line and on-board planning for quadrupedal locomotion, using practical, on-board perception. Mastalli, C.; Havoutis, I.; Winkler, A. W.; Caldwell, D.; and Semini, C. In IEEE International Conference on Practial Robot Applications, 2015.
Pdf abstract bibtex We present a legged motion planning approach for quadrupedal locomotion over challenging terrain. We de- compose the problem into body action planning and footstep planning. We use a lattice representation together with a set of defined body movement primitives for computing a body action plan. The lattice representation allows us to plan versatile move ments that ensure feasibility for every possible plan. To this end, we propose a set of rules that define the footstep search regions and footstep sequence given a body action. We use Anytime Repairing A* (ARA*) search that guarantees bounded sub- optimal plans. Our main contribution is a planning approach that generates on-line versatile movements. Experimental trials demonstrate the performance of our planning approach in a set of challenging terrain conditions. The terrain information and plans are computed on-line and on-board.
@inproceedings{mastalli2015,
author = {Mastalli, Carlos and
Havoutis, Ioannis and
Winkler, Alexander W. and
Caldwell, Darwin and
Semini, Claudio},
booktitle = {IEEE International Conference on Practial Robot Applications},
title = {On-line and on-board planning for quadrupedal locomotion,
using practical, on-board perception},
year = {2015},
abstract = {We present a legged motion planning approach
for quadrupedal locomotion over challenging terrain. We de-
compose the problem into body action planning and footstep
planning. We use a lattice representation together with a set of
defined body movement primitives for computing a body action
plan. The lattice representation allows us to plan versatile
move ments that ensure feasibility for every possible plan. To
this end, we propose a set of rules that define the footstep
search regions and footstep sequence given a body action. We use
Anytime Repairing A* (ARA*) search that guarantees bounded sub-
optimal plans. Our main contribution is a planning approach
that generates on-line versatile movements. Experimental trials
demonstrate the performance of our planning approach in a
set of challenging terrain conditions. The terrain information
and plans are computed on-line and on-board.},
url_pdf = {mypdfs/15-tepra-mastalli.pdf},
}