Search Results for author: Chahat Deep Singh

Found 9 papers, 5 papers with code

AcTExplore: Active Tactile Exploration on Unknown Objects

no code implementations12 Oct 2023 Amir-Hossein Shahidzadeh, Seong Jong Yoo, Pavan Mantripragada, Chahat Deep Singh, Cornelia Fermüller, Yiannis Aloimonos

Tactile exploration plays a crucial role in understanding object structures for fundamental robotics tasks such as grasping and manipulation.

Object Object Reconstruction

WorldGen: A Large Scale Generative Simulator

no code implementations3 Oct 2022 Chahat Deep Singh, Riya Kumari, Cornelia Fermüller, Nitin J. Sanket, Yiannis Aloimonos

In the era of deep learning, data is the critical determining factor in the performance of neural network models.

Object Optical Flow Estimation

NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction

no code implementations22 Sep 2021 Chahat Deep Singh, Nitin J. Sanket, Chethan M. Parameshwara, Cornelia Fermüller, Yiannis Aloimonos

In this paper, we present the first framework to segment unknown objects in a cluttered scene by repeatedly 'nudging' at the objects and moving them to obtain additional motion cues at every step using only a monochrome monocular camera.

Motion Segmentation Object +2

EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following

no code implementations29 Jun 2021 Nitin J. Sanket, Chahat Deep Singh, Chethan M. Parameshwara, Cornelia Fermüller, Guido C. H. E. de Croon, Yiannis Aloimonos

Our network can detect propellers at a rate of 85. 1% even when 60% of the propeller is occluded and can run at upto 35Hz on a 2W power budget.

MorphEyes: Variable Baseline Stereo For Quadrotor Navigation

1 code implementation5 Nov 2020 Nitin J. Sanket, Chahat Deep Singh, Varun Asthana, Cornelia Fermüller, Yiannis Aloimonos

To our knowledge, this is the first work that applies the concept of morphable design to achieve a variable baseline stereo vision system on a quadrotor.

Depth Estimation

PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry

1 code implementation11 Jun 2020 Nitin J. Sanket, Chahat Deep Singh, Cornelia Fermüller, Yiannis Aloimonos

Odometry on aerial robots has to be of low latency and high robustness whilst also respecting the Size, Weight, Area and Power (SWAP) constraints as demanded by the size of the robot.

Benchmarking Translation

EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras

2 code implementations7 Jun 2019 Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos

To our knowledge, this is the first deep learning -- based solution to the problem of dynamic obstacle avoidance using event cameras on a quadrotor.

Motion Estimation

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

1 code implementation14 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

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