Akshay L Chandra
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PhD Student | |
| Postal address: |
Albert-Ludwigs-Universität Freiburg |
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| Office: | Building 80, 00-023 | |
| Email: |  |
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| Phone: | +49 761 203-8024 | |
| Website: | https://akshaychandra.com/ | |
About me
- 03/2025 - current: Ph.D. Student at the Robot Learning Lab, University of Freiburg
- 10/2021 - 01/2025: M.Sc. in Computer Science, University of Freiburg
- 12/2018 - 10/2021: Research Assistant, Machine Learning and Vision Lab, IIT Hyderabad
- 06/2017 - 09/2018: Software Engineer, GGK Technologies Pvt Ltd, Hyderabad
- 08/2013 - 05/2017: B.Tech. in Computer Science, JNTU Hyderabad
Research Interests
- Reinforcement Learning
- World Models
- Robot Manipulation
Open Positions
At the moment, I do not have any available Master’s Projects or Thesis opportunities.If you'd like to be considered for future openings, please send an email with your research interests, an updated CV, and updated transcripts. Kindly use the words "Seeking Master's Thesis" or "Seeking Master's Project" in the subject line. This helps me organise, plan and respond to you promptly.
Publications
View my publications on Google Scholar.
- DiWA: Diffusion Policy Adaptation with World Models
Akshay L Chandra*, Iman Nematollahi*, Chenguang Huang, Tim Welschehold, Wolfram Burgard, Abhinav Valada
Conference on Robot Learning (CoRL), 2025 [arXiv website code] - LUMOS: Language-Conditioned Imitation Learning with World Models
Iman Nematollahi, Branton DeMoss, Akshay L Chandra, IEEE International Conference on Robotics and Automation (ICRA), 2025 [arXiv website code] -
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?
Shivangana Rawat, Akshay L Chandra, Sai Vikas Desai, [paper] -
On Initial Pools for Deep Active Learning
Akshay L Chandra*, Sai Vikas Desai*, Chaitanya Devaguptapu*, Vineeth N. Balasubramanian
Pre-registration in Machine Learning Workshop, NeurIPS & PMLR, 2021 [paper] -
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops
Akshay L Chandra*, Sai Vikas Desai*, Vineeth N Balasubramanian, Seishi Ninomiya, Wei. Guo
Plant Methods (BioMed Central), 2020 [Impact Factor: 5.6] [arXiv] - An Adaptive Supervision Framework for Active Learning in Object Detection
Sai Vikas Desai*, Akshay L Chandra*, Wei Guo, British Machine Vision Conference (BMVC), 2019 [arXiv]