54 citations · 78 across the 12 of their papers we have counts for
4 papers · 1 filter
GradTac: Spatio-Temporal Gradient Based Tactile Sensing
Kanishka Ganguly, Pavan Mantripragada, Chethan M. Parameshwara +3
Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck…
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation
Nitin J. Sanket, Chahat Deep Singh, Varun Asthana +2
Morphable design and depth-based visual control are two upcoming trends leading to advancements in the field of quadrotor autonomy. Stereo-cameras have struck the perfect balance o…
Grasping in the Dark: Zero-Shot Object Grasping Using Tactile Feedback
Kanishka Ganguly, Behzad Sadrfaridpour, Pavan Mantripragada +3
Grasping and manipulating a wide variety of objects is a fundamental skill that would determine the success and wide spread adaptation of robots in homes. Several end-effector desi…
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh +4
Dynamic obstacle avoidance on quadrotors requires low latency. A class of sensors that are particularly suitable for such scenarios are event cameras. In this paper, we present a d…