Skand

I am a Ph.D. student at Oregon State University advised by Fuxin Li and Stefan Lee. My primary research interests lie at the intersection of robot learning and model-based reinforcement learning.

Previously, I worked with Sungjin Ahn on object-centric world models and reinforcement learning. Earlier, I was a Research Assistant at the Indian Institute of Science working with Venkatesh Babu. I graduated with Bachelors of Technology (B.Tech) degree in Computer Science and Engineering from Indian Institute of Technology, Ropar, India.

I was advised by Narayanan Krishnan for my Bachelor’s Thesis. During my undergrad, I also worked with Deepti Bathula and Abhinav Dhall. I previously interned at DeepChem (GSoC) and Video Analytics Lab, IISc Bangalore.

selected publications

CoRL

Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control

Skand Peri, Akhil Perincherry*, Bikram Pandit*, and 1 more author

Conference on Robot Learning, 2025

Bib

@article{PEGRAD,
  author = {Peri, Skand and Perincherry*, Akhil and Pandit*, Bikram and Lee, Stefan},
  title = {Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control},
  journal = {Conference on Robot Learning},
  year = {2025},
}

CoRL

Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure

Skand Peri, Bikram Pandit, Chanho Kim, and 2 more authors

Conference on Robot Learning, 2024

Bib Website

@article{RME,
  author = {Peri, Skand and Pandit, Bikram and Kim, Chanho and Fuxin, Li and Lee, Stefan},
  title = {Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure},
  journal = {Conference on Robot Learning},
  year = {2024},
}

ICRA

Point Cloud Models Improve Visual Robustness in Robotic Learners

Skand Peri, Iain Lee, Chanho Kim, and 3 more authors

International Conference on Robotics and Automation, 2024

arXiv Bib PDF Website

@article{PCWM,
  author = {Peri, Skand and Lee, Iain and Kim, Chanho and Fuxin, Li and Hermans, Tucker and Lee, Stefan},
  title = {Point Cloud Models Improve Visual Robustness in Robotic Learners},
  journal = {International Conference on Robotics and Automation},
  year = {2024},
}

ICLR

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

Zhixuan Lin*, Yi-Fu Wu*, Skand Peri*, and 5 more authors

International Conference on Learning Representations, 2020

Bib PDF Code Website

@article{SPACE20,
  author = {Lin*, Zhixuan and Wu*, Yi-Fu and Peri*, Skand and Sun, Weihao and Singh, Gautam and Deng, Fei and Jiang, Jindong and Ahn, Sungjin},
  title = {SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition},
  journal = {International Conference on Learning Representations},
  year = {2020},
}

T-PAMI

Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection

Deepak Babu Sam*, Skand Peri*, M. N. Sundararaman, and 2 more authors

IEEE Transaction on Pattern Analysis and Machine Intelligence, 2020

Bib PDF Code

@article{LSCCNN,
  author = {Sam*, Deepak Babu and Peri*, Skand and Sundararaman, M. N. and Kamath, Amogh and Babu, R. Venkatesh},
  title = {Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection},
  journal = {IEEE Transaction on Pattern Analysis and Machine Intelligence},
  year = {2020},
}