Zobrazeno 1 - 10
of 1 691
pro vyhledávání: '"Singh, Arun P."'
Autor:
Sharma, Basant, Singh, Arun Kumar
We propose MMD-OPT: a sample-efficient approach for minimizing the risk of collision under arbitrary prediction distribution of the dynamic obstacles. MMD-OPT is based on embedding distribution in Reproducing Kernel Hilbert Space (RKHS) and the assoc
Externí odkaz:
http://arxiv.org/abs/2412.09121
Autor:
Yap, Chee Kian, Singh, Arun Kumar
This study presents a novel approach to modelling economic agents as analogous to spin states in physics, particularly the Ising model. By associating economic activity with spin orientations (up for inactivity, down for activity), the study delves i
Externí odkaz:
http://arxiv.org/abs/2410.20851
Autor:
Karim, Md Faizal, Bollimuntha, Shreya, Hashmi, Mohammed Saad, Das, Autrio, Singh, Gaurav, Sridhar, Srinath, Singh, Arun Kumar, Govindan, Nagamanikandan, Krishna, K Madhava
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling robots to perform tasks that require the coordinated use of two arms, is essential for complex manipulation tasks such as handling large objects, assembling comp
Externí odkaz:
http://arxiv.org/abs/2410.19712
Deep learning (DL) methods have emerged as a powerful tool for the inversion of geophysical data. When applied to field data, these models often struggle without additional fine-tuning of the network. This is because they are built on the assumption
Externí odkaz:
http://arxiv.org/abs/2410.19858
Autor:
Kumar, Naman, Singha, Antareep, Nanwani, Laksh, Potdar, Dhruv, R, Tarun, Rastgar, Fatemeh, Idoko, Simon, Singh, Arun Kumar, Krishna, K. Madhava
Navigation amongst densely packed crowds remains a challenge for mobile robots. The complexity increases further if the environment layout changes, making the prior computed global plan infeasible. In this paper, we show that it is possible to dramat
Externí odkaz:
http://arxiv.org/abs/2409.16011
Tracking a target in cluttered and dynamic environments is challenging but forms a core component in applications like aerial cinematography. The obstacles in the environment not only pose collision risk but can also occlude the target from the field
Externí odkaz:
http://arxiv.org/abs/2406.14639
Autor:
Juvekar, Vinay A., Singh, Arun K.
In this work, we analyse the stick-slip motion of a soft elastomeric block on a smooth, hard surface under the application of shear, which is induced by a puller moving at a steady velocity. The frictional stress is generated by make-break of bonds b
Externí odkaz:
http://arxiv.org/abs/2405.13142
Autor:
Manoharan, Amith, Sharma, Aditya, Belsare, Himani, Pal, Kaustab, Krishna, K. Madhava, Singh, Arun Kumar
Navigation of wheeled vehicles on uneven terrain necessitates going beyond the 2D approaches for trajectory planning. Specifically, it is essential to incorporate the full 6dof variation of vehicle pose and its associated stability cost in the planni
Externí odkaz:
http://arxiv.org/abs/2404.03307
Existing Vision-Language models (VLMs) estimate either long-term trajectory waypoints or a set of control actions as a reactive solution for closed-loop planning based on their rich scene comprehension. However, these estimations are coarse and are s
Externí odkaz:
http://arxiv.org/abs/2403.20116
Sampling trajectories from a distribution followed by ranking them based on a specified cost function is a common approach in autonomous driving. Typically, the sampling distribution is hand-crafted (e.g a Gaussian, or a grid). Recently, there have b
Externí odkaz:
http://arxiv.org/abs/2403.19461