Skand

skand.jpg

I am a third year 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

  1. CoRL
    Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure
    Skand PeriBikram Pandit, Chanho Kim, and 2 more authors
    Conference on Robot Learning, 2024
  2. 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
  3. 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
  4. 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