activity
20192021
most citedGeneralized Continual Zero-Shot Learning

10 citations · 26 across the 13 of their papers we have counts for

collaborators

17 papers

cs.RO2021

Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment

Chaitanyavishnu S. Gadde, Mohitvishnu S. Gadde, Nishant Mohanty +1

The autonomous operation of small quadcopters moving at high speed in an unknown cluttered environment is a challenging task. Current works in the literature formulate it as a Sens…

cs.LG2021

Confidence Conditioned Knowledge Distillation

Sourav Mishra, Suresh Sundaram

In this paper, a novel confidence conditioned knowledge distillation (CCKD) scheme for transferring the knowledge from a teacher model to a student model is proposed. Existing stat…

cs.RO20212 cited

Design and Integration of a Drone based Passive Manipulator for Capturing Flying Targets

B. V. Vidyadhara, Lima Agnel Tony, Mohitvishnu S. Gadde +5

In this paper, we present a novel passive single Degree-of-Freedom (DoF) manipulator design and its integration on an autonomous drone to capture a moving target. The end-effector…

cs.RO20214 cited

Design Iterations for Passive Aerial Manipulator

Vidyadhara B, Lima Agnel Tony, Mohitvishnu S. Gadde +5

Grabbing a manoeuvring target using drones is a challenging problem. This paper presents the design, development, and prototyping of a novel aerial manipulator for target intercept…

eess.SY2021

A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense

Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan

This paper provides a new solution approach to a multi-player perimeter defense game, in which the intruders' team tries to enter the territory, and a team of defenders protects th…

cs.LG2021

Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation

Sourav Mishra, Suresh Sundaram

Existing methods for distillation do not efficiently utilize the training data. This work presents a novel approach to perform distillation using only a subset of the training data…