activity
20182024
most citedActive Perception based Formation Control for Multiple Aerial Vehicles

58 citations · 118 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2024

SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models

Abhay Rawat, Shubham Dokania, Astitva Srivastava +3

Recent advancements in generative models have unlocked the capabilities to render photo-realistic data in a controllable fashion. Trained on the real data, these generative models…

cs.CV2022

Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection

Abhay Rawat, Isha Dua, Saurav Gupta +1

One of the primary challenges in Semi-supervised Domain Adaptation (SSDA) is the skewed ratio between the number of labeled source and target samples, causing the model to be biase…

cs.CV2022★ 8 cited

CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation

Midhun Vayyat, Jaswin Kasi, Anuraag Bhattacharya +2

In this work, we propose CLUDA, a simple, yet novel method for performing unsupervised domain adaptation (UDA) for semantic segmentation by incorporating contrastive losses into a…

cs.CV2022★ 3 cited

ViTOL: Vision Transformer for Weakly Supervised Object Localization

Saurav Gupta, Sourav Lakhotia, Abhay Rawat +1

Weakly supervised object localization (WSOL) aims at predicting object locations in an image using only image-level category labels. Common challenges that image classification mod…

cs.RO2020★ 1 cited

AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning

Rahul Tallamraju, Nitin Saini, Elia Bonetto +4

In this letter, we introduce a deep reinforcement learning (RL) based multi-robot formation controller for the task of autonomous aerial human motion capture (MoCap). We focus on v…

cs.RO2019

Energy Conscious Over-actuated Multi-Agent Payload Transport Robot: Simulations and Preliminary Physical Validation

Rahul Tallamraju, Pulkit Verma, Venkatesh Sripada +2

In this work, we consider a multi-wheeled payload transport system. Each of the wheels can be selectively actuated. When they are not actuated, wheels are free moving and do not co…

cs.MA2019

Multiple Drones driven Hexagonally Partitioned Area Exploration: Simulation and Evaluation

Ayush Datta, Rahul Tallamraju, Kamalakar Karlapalem

In this paper, we simulated a distributed, cooperative path planning technique for multiple drones (~200) to explore an unknown region (~10,000 connected units) in the presence of…

cs.RO2019★ 4 cited

Loosely Coupled Payload Transport System with Robot Replacement

Pulkit Verma, Rahul Tallamraju, Abhay Rawat +2

In this work, we present an algorithm for robot replacement to increase the operational time of a multi-robot payload transport system. Our system comprises a group of nonholonomic…

cs.RO2019

Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems

Rahul Tallamraju, Durgesh Haribhau Salunkhe, Sujit Rajappa +3

In this paper, a kinematic motion planning algorithm for cooperative spatial payload manipulation is presented. A hierarchical approach is introduced to compute real-time collision…

cs.RO2019★ 58 cited

Active Perception based Formation Control for Multiple Aerial Vehicles

Rahul Tallamraju, Eric Price, Roman Ludwig +4

Autonomous motion capture (mocap) systems for outdoor scenarios involving flying or mobile cameras rely on i) a robotic front-end to track and follow a human subject in real-time w…

cs.RO2018★ 44 cited

Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios

Rahul Tallamraju, Sujit Rajappa, Michael Black +2

In this work, we consider the problem of decentralized multi-robot target tracking and obstacle avoidance in dynamic environments. Each robot executes a local motion planning algor…