arXiv:2604.06882v1 Announce Type: new
Abstract: The integration of machine learning tools into telecom networks, has led to two prevailing paradigms, namely, language-based systems, such as Large Language Models (LLMs), and physics-based systems, such…
arXiv:2604.06778v1 Announce Type: new
Abstract: This paper presents RichMap, a high-precision reachability map representation designed to balance efficiency and flexibility for versatile robot manipulation tasks. By refining the classic grid-based str…
arXiv:2512.19576v5 Announce Type: replace-cross
Abstract: Attitude control is essential for many satellite missions. Classical controllers, however, are time-consuming to design and sensitive to model uncertainties and variations in operational bounda…
arXiv:2604.06932v1 Announce Type: new
Abstract: Multi-object nonprehensile transportation in teleoperation demands simultaneous trajectory tracking and tray orientation control. Existing methods often struggle with model dependency, uncertain paramete…
arXiv:2503.16548v2 Announce Type: replace-cross
Abstract: Large Language Models (LLMs) have substantially improved the conversational capabilities of social robots. Nevertheless, for an intuitive and fluent human-robot interaction, robots should be ab…
arXiv:2604.04221v2 Announce Type: replace
Abstract: This paper presents Residual Koopman MPC (RK-MPC), a Koopman-based, data-driven model predictive control framework for quadruped locomotion that improves prediction fidelity while preserving real-tim…
arXiv:2604.06830v1 Announce Type: cross
Abstract: We introduce VGGT-SLAM++, a complete visual SLAM system that leverages the geometry-rich outputs of the Visual Geometry Grounded Transformer (VGGT). The system comprises a visual odometry (front-end) f…
arXiv:2604.06382v1 Announce Type: new
Abstract: Visual navigation is a fundamental capability of mobile service robots, yet the onboard cameras required for such navigation can capture privacy-sensitive information and raise user privacy concerns. Exi…
arXiv:2505.06182v5 Announce Type: replace
Abstract: Active perception is a fundamental skill that enables us humans to deal with uncertainty in our inherently partially observable environment. For senses such as touch, where the information is sparse …
arXiv:2604.07348v1 Announce Type: cross
Abstract: Generating motion-controlled videos–where user-specified actions drive physically plausible scene dynamics under freely chosen viewpoints–demands two capabilities: (1) disentangled motion control, al…