activity
20182021
most citedDesign and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.RO20211 cited

Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios

Kshitij Jindal, Anthony Wang, Dinesh Thakur +7

Autonomous mobile robots have the potential to solve missions that are either too complex or dangerous to be accomplished by humans. In this paper, we address the design and autono…

cs.RO2020

Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment

Petr Stibinger, George Broughton, Filip Majer +8

Mobile manipulators have the potential to revolutionize modern agriculture, logistics and manufacturing. In this work, we present the design of a ground-based mobile manipulator fo…

cs.CV2020

PennSyn2Real: Training Object Recognition Models without Human Labeling

Ty Nguyen, Ian D. Miller, Avi Cohen +5

Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100,000 4K images of…

cs.RO2019

Nuclear Environments Inspection with Micro Aerial Vehicles: Algorithms and Experiments

Dinesh Thakur, Giuseppe Loianno, Wenxin Liu +1

In this work, we address the estimation, planning, control and mapping problems to allow a small quadrotor to autonomously inspect the interior of hazardous damaged nuclear sites.…

cs.RO2018

Resilient Active Information Gathering with Mobile Robots

Brent Schlotfeldt, Vasileios Tzoumas, Dinesh Thakur +1

Applications of safety, security, and rescue in robotics, such as multi-robot target tracking, involve the execution of information acquisition tasks by teams of mobile robots. How…

cs.RO2018

The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

Alex Zihao Zhu, Dinesh Thakur, Tolga Ozaslan +3

Event based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dyna…