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Titel:

Progressive Stochastic Motion Planning for Human-Robot Interaction

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Ögüz, Özgür S.; Sari, Ömer C.; Dinh, Khoi Hoang; Wollherr, Dirk
Stichworte:
collision avoidance; human-robot interaction; mobile robots; optimisation; probability; stochastic processes; feasible optimization parameters; human motion prediction; human-robot interaction scenarios; motion planner; optimal online motion planning; prediction system; progressive stochastic motion planning; robot motion; stochastic optimization; Collision avoidance; Cost function; Planning; Robots; Trajectory
Kongress- / Buchtitel:
2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
Ausrichter der Konferenz:
IEEE
Datum der Konferenz:
August 28 - September 1, 2017
Jahr:
2017
Monat:
Aug
Seiten:
1194-1201
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/ROMAN.2017.8172456
Semester:
SS 17
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