Zobrazeno 1 - 10
of 8 835
pro vyhledávání: '"Kshirsagar AS"'
Autor:
Nguyen, Duc Huy, Schneider, Tim, Duret, Guillaume, Kshirsagar, Alap, Belousov, Boris, Peters, Jan
Training robot policies in simulation is becoming increasingly popular; nevertheless, a precise, reliable, and easy-to-use tactile simulator for contact-rich manipulation tasks is still missing. To close this gap, we develop TacEx -- a modular tactil
Externí odkaz:
http://arxiv.org/abs/2411.04776
Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work
Externí odkaz:
http://arxiv.org/abs/2410.12804
Autor:
Prasad, Vignesh, Kshirsagar, Alap, Koert, Dorothea, Stock-Homburg, Ruth, Peters, Jan, Chalvatzaki, Georgia
Shared dynamics models are important for capturing the complexity and variability inherent in Human-Robot Interaction (HRI). Therefore, learning such shared dynamics models can enhance coordination and adaptability to enable successful reactive inter
Externí odkaz:
http://arxiv.org/abs/2407.07636
The widespread use of generative AI systems is coupled with significant ethical and social challenges. As a result, policymakers, academic researchers, and social advocacy groups have all called for such systems to be audited. However, existing audit
Externí odkaz:
http://arxiv.org/abs/2407.05338
Autor:
Böhm, Alina, Schneider, Tim, Belousov, Boris, Kshirsagar, Alap, Lin, Lisa, Doerschner, Katja, Drewing, Knut, Rothkopf, Constantin A., Peters, Jan
This paper explores active sensing strategies that employ vision-based tactile sensors for robotic perception and classification of fabric textures. We formalize the active sampling problem in the context of tactile fabric recognition and provide an
Externí odkaz:
http://arxiv.org/abs/2403.13701
Autor:
Hahne, Fabian, Prasad, Vignesh, Kshirsagar, Alap, Koert, Dorothea, Stock-Homburg, Ruth Maria, Peters, Jan, Chalvatzaki, Georgia
Hidden Markov Models with an underlying Mixture of Gaussian structure have proven effective in learning Human-Robot Interactions from demonstrations for various interactive tasks via Gaussian Mixture Regression. However, a mismatch occurs when segmen
Externí odkaz:
http://arxiv.org/abs/2402.14548
Autor:
Göksu, Yasemin, Correia, Antonio De Almeida, Prasad, Vignesh, Kshirsagar, Alap, Koert, Dorothea, Peters, Jan, Chalvatzaki, Georgia
Bimanual handovers are crucial for transferring large, deformable or delicate objects. This paper proposes a framework for generating kinematically constrained human-like bimanual robot motions to ensure seamless and natural robot-to-human object han
Externí odkaz:
http://arxiv.org/abs/2402.14525
BiFeO$_3$ is a technologically relevant multiferroic perovskite featuring ferroelectricity and antiferromagnetism. Its lattice, magnetic, and ferroelectric degrees of freedoms are coupled to its optically active excitations and thus hold the potentia
Externí odkaz:
http://arxiv.org/abs/2402.05542
BiFeO$_3$ is a multiferroic material featuring ferroelectricity and noncollinear antiferromagnetism, the latter manifested as a cycloid of spin density. Definitive and efficient control of the characteristic spin texture of BiFeO$_3$ is attractive fo
Externí odkaz:
http://arxiv.org/abs/2402.05430
We have studied the topological properties of free standing Sn doped cadmium chalcogenide (CdSnX, X = S, Se and Te) nanoribbons of varying widths and three types of edges viz., distorted armchair, normal armchair and normal zigzag edges. The unsatisf
Externí odkaz:
http://arxiv.org/abs/2312.17562