21 citations · 100 across the 21 of their papers we have counts for
9 papers · 1 filter
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…
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…
Online Lifelong Generalized Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Methods proposed in the literature for zero-shot learning (ZSL) are typically suitable for offline learning and cannot continually learn from sequential streaming data. The sequent…
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
Nishanth Rao, Suresh Sundaram
Prognostication of vehicle trajectories in unknown environments is intrinsically a challenging and difficult problem to solve. The behavior of such vehicles is highly influenced by…
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…
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…
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…
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…
Generative Replay-based Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Zero-shot learning is a new paradigm to classify objects from classes that are not available at training time. Zero-shot learning (ZSL) methods have attracted considerable attentio…