1 code implementation • 2 Nov 2020 • Kanishka Ganguly, Behzad Sadrfaridpour, Krishna Bhavithavya Kidambi, Cornelia Fermüller, Yiannis Aloimonos
Several end-effector designs for robust manipulation have been proposed but they mostly work when provided with prior information about the objects or equipped with external sensors for estimating object shape or size.
Robotics
no code implementations • 4 Feb 2020 • Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha
We present an end-to-end algorithm for training deep neural networks to grasp novel objects.
Robotics
no code implementations • 1 Mar 2019 • Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha
The quality of the grasp poses is on par with the groundtruth poses in the dataset.
Robotics
no code implementations • 13 Jul 2018 • Konstantinos Zampogiannis, Kanishka Ganguly, Cornelia Fermuller, Yiannis Aloimonos
When we physically interact with our environment using our hands, we touch objects and force them to move: contact and motion are defining properties of manipulation.
1 code implementation • 14 Feb 2018 • Nitin J. Sanket, Chahat Deep Singh, Kanishka Ganguly, Cornelia Fermüller, Yiannis Aloimonos
We use this philosophy to design a minimalist sensori-motor framework for a quadrotor to fly though unknown gaps without a 3D reconstruction of the scene using only a monocular camera and onboard sensing.
Robotics