Search Results for author:
Found 16 papers, 1 papers with code
Action-conditioned video data improves predictability
Long-term video generation and prediction remain challenging tasks in computer vision, particularly in partially observable scenarios where cameras are mounted on moving platforms.
Collision Course for Objects Moving on a Spherical Manifold
In this paper, we address the problem of predicting collision for objects moving on the surface of a spherical manifold.
Action-conditioned Deep Visual Prediction with RoAM, a new Indoor Human Motion Dataset for Autonomous Robots
With the increasing adoption of robots across industries, it is crucial to focus on developing advanced algorithms that enable robots to anticipate, comprehend, and plan their actions effectively in collaboration with humans.
Development of Decision Support System for Effective COVID-19 Management
This paper discusses a Decision Support System (DSS) for cases prediction, allocation of resources, and lockdown management for managing COVID-19 at different levels of a government authority.
Cyclone Preparedness, Rescue Operations and Damage Assessment using UAVs
This paper can help disaster management authorities to develop UAV systems specifically to cater to cyclone operations.
Critical Medical Resource Allocation during COVID-19 Pandemic
In this paper, an optimal resource allocation framework is proposed for the allocation of critical medical resources among different units during a pandemic.
Optimal Lockdown Management using Short Term COVID-19 Prediction Model
The predicted value of active cases is calculated using an adaptive short-term prediction model.
Design and Integration of a Drone based Passive Manipulator for Capturing Flying Targets
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.
Robotics
Design Iterations for Passive Aerial Manipulator
This paper presents the design, development, and prototyping of a novel aerial manipulator for target interception.
Robotics
Collaborative Tracking and Capture of Aerial Object using UAVs
This work details the problem of aerial target capture using multiple UAVs.
Control of a Nature-inspired Scorpion using Reinforcement Learning
It can also be used explore dangerous areas in place of humans.
Implementation of Survivor Detection Strategies Using Drones
The coordinates of the survivor and their heading is reported by an on-ground observer to the UAV to generate a weighted map of the surroundings for exploration.
Robotics Systems and Control Systems and Control
Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning
Quadcopters can suffer from loss of propellers in mid-flight, thus requiring a need to have a system that detects single and multiple propeller failures and an adaptive controller that stabilizes the propeller-deficient quadcopter.
Planning Robot Motion using Deep Visual Prediction
In this paper, we introduce a novel framework that can learn to make visual predictions about the motion of a robotic agent from raw video frames.
Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder
Predicting movement of objects while the action of learning agent interacts with the dynamics of the scene still remains a key challenge in robotics.
Emotional Metaheuristics For in-situ Foraging Using Sensor Constrained Robot Swarms
We present a new social animal inspired emotional swarm intelligence technique.
