RGB-D terrain perception and dense mapping for legged robots

DOI10.1515/amcs-2016-0006zbMath1336.93111OpenAlexW2297711053WikidataQ61457661 ScholiaQ61457661MaRDI QIDQ285393

Péter Fankhauser, Roland Siegwart, Przemysław Łabecki, Dominik Belter

Publication date: 19 May 2016

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/amcs-2016-0006

zbMATH Keywords

uncertaintyelevation mappinglegged robotsRGB-D perception

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Geometric methods (93B27) Automated systems (robots, etc.) in control theory (93C85) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Design and Performance Analysis of Automated Guided Vehicle: Applications to Terrain Mapping ⋮ D* Extra Lite: a dynamic A* with search-tree cutting and frontier-gap repairing ⋮ Saturating stiffness control of robot manipulators with bounded inputs ⋮ Curve skeleton extraction via \(k\)-nearest-neighbors based contraction ⋮ Adaptive impedance control of robot manipulators with parametric uncertainty for constrained path-tracking

Uses Software

• OctoMap

Cites Work

• Unnamed Item
• Supporting locomotive functions of a six-legged walking robot
• A Bayesian regression approach to terrain mapping and an application to legged robot locomotion
• Rough terrain mapping and classification for foothold selection in a walking robot
• Simultaneous localization and mapping: A feature-based probabilistic approach
• Computer vision. Algorithms and applications

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