Experimental results show that, compared with single-skill and unconstrained baselines that ignore scene disturbance, MS-MEM achieves higher mapping accuracy while substantially reducing scene disturbance, highlighting the synergistic effects of active viewpoint selection, push, and grasp actions.
Yi-Tian Shi, Jesper Mücke, Nils Dengler et al.· 0 citations
Semantic-Dense Placement Planning (SDPP) is proposed, an accessibility-preserving approach that ranks candidate poses using a semantic-density score combining inter-object semantic similarity with spatial proximity and significantly improves semantic placement quality over state-of-the-art baselines.
Benno Wingender, Nils Dengler, Nicolas Busch et al.· 0 citations
Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing datasets often lack the diversity needed to capture differences in culture, geography, and human-robot interaction-factors that strongly shape...
Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar et al.· 0 citations
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