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Classifying Dynamic Objects: An Unsupervised Learning Approach.

, , , and . Robotics: Science and Systems, The MIT Press, (2008)

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Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection., and . ICRA, page 4469-4474. IEEE, (2012)Real-time full-body human gender recognition in (RGB)-D data., , and . ICRA, page 3039-3045. IEEE, (2015)Socially-aware robot navigation: A learning approach., , , and . IROS, page 902-907. IEEE, (2012)The autonomous miniature robot Alice: from prototypes to applications., , and . IROS, page 793-798. IEEE, (2000)Feature-based multi-hypothesis localization and tracking using geometric constraints., , , and . Robotics Auton. Syst., 44 (1): 41-53 (2003)Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots., , , , and . CoRR, (2020)Classifying Dynamic Objects: An Unsupervised Learning Approach., , , and . Robotics: Science and Systems, The MIT Press, (2008)People tracking with human motion predictions from social forces., , , and . ICRA, page 464-469. IEEE, (2010)Real-time full-body human attribute classification in RGB-D using a tessellation boosting approach., and . IROS, page 1335-1341. IEEE, (2015)An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Freedom., , , and . CoRR, (2019)