Shrutarv Awasthi

I am a Researcher at the Technical University Dortmund (TU Dortmund) working on 3D Computer Vision and Robotics.

My main research topic is High speed perception for mobile robots using a combination of stereo setup of event camera and RGB camera.

📰Updates

[August 2025] MR6D paper accepted at ICCV R6D Workshop

[June 2025] Presented at IFAC 2025: Human-UAV Collaboration in Warehousing

[May 2025] Presented the MTevent paper CVPR – Event Vision workshop

[October 2024] Our EventRec Project on high speed robot perception officially started with industrial partners.

[August 2024] 🏆 Secured the AIF funding (Allianz for Industry & research) for the Event camera project.

[September 2023] Published at Logistics Journal: Micro UAV swarm for industrial applications in indoor environment: a systematic literature review

[August 2022] Presented at ICPR : Video-based pose-estimation data as source for transfer learning in human activity recognition

[September 2022] Presented at MHCL: UAVs for industries and supply chain management

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Projects

EventRec

TU Dortmund · (2023 – Ongoing)

Project Page

I proposed and led the EventRec project, taking it from concept to securing funding from the AIF/IGF in close collaboration with colleagues.

The project aims to enable high-speed robots to perceive and interact with their environment using event cameras. As project lead, I managed a small research team that created the MTEvent dataset and am currently working on developing novel methods for 3D detection of moving objects, advancing real-time perception capabilities for robots to navigate safely and efficiently in dynamic environments at high speed.

Industry partners: KION, Jungheinrich, Framos, Safelog and others.

Publications

MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection

*Shrutarv Awasthi¹, *Anas Gouda^1,2, Sven Franke¹, Jérôme Rutinowski^1,2, Frank Hoffmann¹, Moritz Roidl^1,2

¹ TU Dortmund · ² Lamarr Institute

CVPR 2025 — Workshop on Event-based Vision

CVF Dataset MTevent Toolkit

Event Camera as Region Proposal Network

Shrutarv Awasthi, Richard Julian Lodenkaemper, Anas Gouda, Moritz Roidl

TU Dortmund

Preprint 2023

GitHub

Project Title: Drone Trust

TU Dortmund (2021 – 2024)

Package for 2D segmentation of unseen objects and the main outcome of my PhD work.

Project Description: This project investigates the integration of micro–unmanned aerial vehicle (UAV) swarms in indoor industrial environments, focusing on safe human–robot collaboration and perception-driven autonomy.

A comprehensive framework and digital-twin simulation is developed to demonstrate the feasibility of UAV swarms performing logistics tasks such as transport, guiding humans and inspection in constrained warehouse settings. In parallel, machine learning methods for human activity recognition are explored. A dataset consisting of duman UAV interaction in a warehouse setting is also published on Zenodo.

Publications

Micro UAV Swarm for industrial applications in indoor environment – A Systematic Literature Review

Shrutarv Awasthi¹, M. Fernandez-Cortizas², C. Reining ¹, P.Arias-Perez², M. A. Luna², D. Perez-Saura², Moritz Roidl^1,3 N. Gramse¹ P.Klokowski³ P.Campoy²

¹ TU Dortmund · ² UPM Madrid ³ Fraunhofer IML Dortmund

Logistics Research Journal