CV

Click here to download a PDF of my CV.

Education

• Ph.D in Robotics, Eidgenössische Technische Hochschule (ETH) Zürich, Switzerland. 2019 (in collaboration with Disney Research, Zürich)
  • Thesis on Semantic Segmentation and Mapping in Natural Environments
• Master of Science in Robotics, Systems and Control, Eidgenössische Technische Hochschule (ETH) Zürich, Switzerland. 2012-2014 (thesis at Disney Research, Zürich)
  • Thesis on Re-acquisition of People using Clothing Characterization
• Bachelor of Technology in Electrical Engineering, Indian Institute of Technology, Jodhpur, India. 2008-2012
  • Thesis on Development of a Smart Wheelchair

Work experience

• October 2023 - Current: Senior Engineer (Localisation)
  • Oxa, Oxford, UK
• November 2022 - September 2023: Visual SLAM R&D Engineer
  • Arrival UK, London, UK
• 2021 - 2022: Postdoctoral Researcher
  • Dynamic Robot Systems Group, Oxford Robotics Institute, University of Oxford, UK
  • Supervisor: Dr. Maurice Fallon
• 2019 - 2021: Postdoctoral Research Associate
  • Sydney Institute for Robotics and Intelligent Systems, The University of Sydney, Australia
  • Supervisor: Prof. Ian Manchester
• Winter 2013: Research Intern
  • TCS Innovation Labs, India
  • Overview: Developed a human gesture driven control framework for a service robot.
  • Supervisor: Dr. Swagat Kumar
• Fall 2013: Semester Thesis
  • Institute for Dynamic Systems and Control (IDSC), ETH, Zürich
  • Overview: Developed and implemented a rendezvous algorithm for the Distributed Flight Array.
  • Supervisor: Prof. Raffaello d’Andrea
• Summer 2011: Research Intern
  • Centre for Neuroprosthesis and Brain-machine Interface, École polytechnique fédérale de Lausanne (EPFL), Switzerland
  • Overview: Benchmarked classification techniques on the Opportunity - Human Activity dataset.
  • Supervisors: Dr. Ricardo Chavarriaga, Dr. Hesam Sagha, Prof. Dr. José del R. Millán

Skills

• Programming - C/C++, Python, ROS, Matlab
• Deep Learning - Tensorflow, PyTorch, Keras
• Embedded Programming - AVR micro-controllers, Arduino
• Creative Design - Blender, Illustrator, Photoshop, Krita
• CAD - OnShape, Autodesk Fusion 360
• Circuit Design - KiCad
• Workshop Skills - 3D printing, Laser cutting, Soldering, Welding, Casting, Turning.

Publications

InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning

Zhang L., Digumarti, S.T., Tinchev, G. and Fallon, M., 2023. "InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning." Robotics: Science and Systems (RSS)

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation

Tao, Y., Popović, M., Wang, Y., Digumarti, S.T., Chebrolu, N. and Fallon, M., 2022. "3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Towards real-time forest inventory using handheld LiDAR

Proudman, A., Ramezani, M., Digumarti, S.T., Chebrolu, N. and Fallon, M., 2022. "Towards real-time forest inventory using handheld LiDAR." Robotics and Autonomous Systems, 157, p.104240

Strategies for large scale elastic and semantic LiDAR reconstruction

Wang, Y., Ramezani, M., Mattamala, M., Digumarti, S.T. and Fallon, M., 2022. "Strategies for large scale elastic and semantic LiDAR reconstruction." Robotics and Autonomous Systems, 155, p.104185

Unsupervised learning of depth estimation and visual odometry for sparse light field cameras

Digumarti, S. T., Daniel, J., Ravendran, A., Griffiths, R., Dansereau, D. G. (2021, September). "Unsupervised learning of depth estimation and visual odometry for sparse light field cameras." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Fast-Learning Grasping and Pre-Grasping Via Clutter Quantization and Q-Map Masking

Ren, X., Wang, X., Digumarti, S. T., Shi, G. (2021, September). "Fast-Learning Grasping and Pre-Grasping Via Clutter Quantization and Q-Map Masking." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

An Approach for Semantic Segmentation of Tree-like Vegetation

Digumarti, S. T., Schmid, L. M., Rizzi, G. M., Nieto, J., Siegwart, R., Beardsley, P., & Cadena, C. (2019, May). "An approach for semantic segmentation of tree-like vegetation." IEEE International Conference on Robotics and Automation (ICRA), 3(4), pp. 1801-1807

Automatic Segmentation of Tree Structure From Point Cloud Data

Digumarti, S. T., Nieto, J., Cadena, C., Siegwart, R., & Beardsley, P. (2018). "Automatic Segmentation of Tree Structure From Point Cloud Data." IEEE Robotics and Automation Letters (RAL), 3(4), pp. 3043-3050

Underwater 3D capture using a low-cost commercial depth camera

Digumarti, S. T., Chaurasia, G., Taneja, A., Siegwart, R., Thomas, A., & Beardsley, P. (2016). "Underwater 3D capture using a low-cost commercial depth camera." IEEE Winter Conference on Applications of Computer Vision, 2016, pp. 1-9.

Rendezvous with bearing-only information and limited sensing range

Kriegleder, M., Digumarti, S. T., Oung, R., & D Andrea, R. (2015). "Rendezvous with bearing-only information and limited sensing range." IEEE International Conference on Robotics and Automation (ICRA), 2015, pp. 5941-5947.

The Opportunity challenge A benchmark database for on-body sensor-based activity recognition

Chavarriaga, R., Sagha, H., Calatroni, A., Digumarti, S. T., Tröster, G., Millán, J. D. R., & Roggen, D. (2013). "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition." Pattern Recognition Letters, 34(15), 2033-2042.

Design and implementation of a smart wheelchair

Trivedi, A. R., Singh, A. K., Digumarti, S. T., Fulwani, D., & Kumar, S. (2013). "Design and implementation of a smart wheelchair." Proceedings of the Conference on Advances in Robotics, ACM, pp. 1-6.

SMC 2011 Workshop on robust machine learning techniques for human activity recognition: Activity recognition challenge

Sagha, H., Digumarti, S. T., Millán, J. D. R., Calatroni, A., Roggen, D., Tröster, G., Bannach, D., Lukowicz, P., Ferscha, A., & Chavarriaga, R. (2011). "SMC 2011 Workshop on robust machine learning techniques for human activity recognition: Activity recognition challenge." IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Benchmarking classification techniques using the Opportunity human activity dataset

Sagha, H., Digumarti, S. T., Millán, J. D. R., Chavarriaga, R., Calatroni, A., Roggen, D., & Tröster, G. (2011). "Benchmarking classification techniques using the Opportunity human activity dataset." IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 36-40.

Awards and Achievements

• Reached the final round of the IROS Open Cloud Robotics Table Organization Challenge, 2020.
• Best paper award at Advances in Robotics, International Conference of Robotics Society of India, 2013.
• Cleared the 1st round of Bristol’s Basecamp Enterprise competition, 2018-19.
• ETH scholarship for Master’s students, 2013-14.
• Won gold at national level Shotokan Karate competition, 2005.

Technical Memberships

Member of IEEE Robotics and Automation Society (RAS)

Academic Activities

• Co-organized ICRA Workshop on Sensing, Estimating and Understanding the Dynamic World, 2020
• Organized conference-based paper discussion sessions at SIRIS/ACFR, 2020
• Helped organize talks for a seminar series at SIRIS/ACFR, 2020
• Paper reviewer:
  • IEEE International Conference on Robotics and Automation (ICRA), 2019, 2020, 2021
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, 2019, 2020, 2021
  • IEEE Robotics and Automation Letters (RAL), 2018, 2019, 2020, 2021
  • Pattern Recognition Letters (PRL), 2019
  • IEEE Intelligent Vehicles Symposium (IV), 2021
• Volunteer, Conference on Robot Learning (CoRL), 2018
• Volunteer, Eurographics, 2015

Mentorship

• Team captian and academic mentor, USyd team for IROS Open Cloud Robotics Table Organization Challenge (OCRTOC), 2020
• Mentor, USyd team for the Heineken zero-contact bar project, 2020
• Co-supervisor for Bachelors’/Honours’ theses and summer internships at USyd (5 projects), 2019-2021
• Co-supervisor for Masters’ and Bachelors’ theses at ETH Zürich (10 projects), 2016-2019
• Mentor and co-supervisor, ETH Fokus Project, Scubo, an undergraduate project for the development of an omnidirectional underwater robot (8 students), 2015-2016
• Co-founder and mentor, amateur robotics and electronics clubs of IIT Jodhpur, 2018-2012
• Coordinator, student counselling services of IIT Jodhpur, 2009-2012

Community and Outreach

• Co-organized ICRA Workshop on Sensing, Estimating and Understanding the Dynamic World, 2020
• Co-organized IEEE RAS Winter School on SLAM in Deformable Environments, 2021
• Organized conference-based paper discussion sessions at SIRIS/ACFR, 2020
• Helped organize talks for a seminar series at SIRIS/ACFR, 2020
• Associate Editor for Robotics Reports 2023
• Associate Editor for TAROS 2023
• Paper reviewer:
  • IEEE Transactions on Robotics (T-RO), 2021 - 2023
  • IEEE International Conference on Robotics and Automation (ICRA), 2019 - 2023
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 – 2023
  • IEEE Robotics and Automation Letters (RAL), 2018 - 2022
• Volunteer, Conference on Robot Learning (CoRL), 2018
• Volunteer, Eurographics, 2015

Languages

• English, Telugu, Hindi - Fluent
• German - Conversational
• French, Sanskrit - Beginner

Hobbies

• Painting and Sculpting
• Hiking
• Cooking
• Table Tennis
• Video Games