Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saraf, Prathamesh"'
Autor:
Moniz, Joel Ruben Antony, Krishnan, Soundarya, Ozyildirim, Melis, Saraf, Prathamesh, Ates, Halim Cagri, Zhang, Yuan, Yu, Hong
Reference resolution is an important problem, one that is essential to understand and successfully handle context of different kinds. This context includes both previous turns and context that pertains to non-conversational entities, such as entities
Externí odkaz:
http://arxiv.org/abs/2403.20329
Convex optimization is crucial in controlling legged robots, where stability and optimal control are vital. Many control problems can be formulated as convex optimization problems, with a convex cost function and constraints capturing system dynamics
Externí odkaz:
http://arxiv.org/abs/2307.00156
Legged robots can traverse challenging terrain, use perception to plan their safe foothold positions, and navigate the environment. Such unique mobility capabilities make these platforms a perfect candidate for scenarios such as search and rescue, in
Externí odkaz:
http://arxiv.org/abs/2106.03307
Autor:
Singh, Nihal, Karhade, Jay, Bhattacharya, Ishika, Saraf, Prathamesh, Kattamuri, Plava, Parimi, Alivelu Manga
Hyperloop is a high-speed ground-based transportation system utilizing sealed tubes, with the aim of ultimately transporting passengers between metropolitan cities in efficiently designed autonomous capsules. In recent years, the design and developme
Externí odkaz:
http://arxiv.org/abs/2012.09412
Autor:
Saraf, Prathamesh, Ponnalagu, R. N.
This paper aims to design an optimal stability controller for a point to point trajectory tracking 3 degree of freedom articulated manipulator. The DH convention is used to obtain the forward and inverse kinematics of the manipulator. The manipulator
Externí odkaz:
http://arxiv.org/abs/2010.13574
This paper presents a simulation-based comparison between the two controllers, Proportional Integral Derivative (PID), a classical controller and Linear Quadratic Regulator (LQR), an optimal controller, for a linearized quadrotor model. To simplify a
Externí odkaz:
http://arxiv.org/abs/2009.13175
A convolutional neural network (CNN) approach is used to implement a level 2 autonomous vehicle by mapping pixels from the camera input to the steering commands. The network automatically learns the maximum variable features from the camera input, he
Externí odkaz:
http://arxiv.org/abs/1909.03854