Mohan Kumar Srirama

Mohan Kumar Srirama



Hello there!

I’m a second-year Master’s student at Carnegie Mellon University, where I’m fortunate to be advised by Professor Deepak Pathak. Before this, I worked as a Research Engineer under Professor Abhinav Gupta. My research focuses on developing autonomous systems that meaningfully impact their environment through selective contact. My long-term goal is to enable robots to take on tasks that are unsafe, repetitive, or simply monotonous for humans. Currently, I’m working on visual representations that blend insights from both human and robotic experiences to accelerate robotic skill acquisition.

Previosuly, I was a Senior Camera Systems Engineer at Qualcomm R&D building algorithms for Image Signal Processors (ISPs) in Snapdragon🐉 chipsets that power over a billion smartphones worldwide.

Beyond research, I enjoy lifting weights 🏋️‍♂️, mastering dynamic poses 🤸, and catching the latest Formula 1 race 🏎️. I’m always open to collaborating or just geeking out over cool ideas!

Email: mohankus [at] cs [dot] cmu [dot] edu

कर्मण्येवाधिकारस्ते मा फलेषु कदाचन।
मा कर्मफलहेतुर्भूर्मा ते सङ्गोऽस्त्वकर्मणि॥

— Bhagavad Gita, Chapter 2, Verse 47

News


Publications

The Ingredients for Robotic Diffusion Transformers
In Submission to ICRA, 2025
The Ingredients for Robotic Diffusion Transformers
Bimanual Dexterity for Complex Tasks
Conference on Robot Learning (CoRL) 2024
Bimanual Dexterity for Complex Tasks
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems (RSS), 2024  [Oral Presentation]
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Train Offline, Test Online: A Real Robot Learning Benchmark (TOTO)
IEEE International Conference on Robotics and Automation (ICRA), 2023 [Best Paper Award at NeurIPS WBRC 2022]
Train Offline, Test Online: A Real Robot Learning Benchmark (TOTO)

Projects

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manimo

manimo

A modular interface for robotic manipulation.

tire-defect-detector

tire-defect-detector

An Efficient Net based CV pipeline for tire defect detection delivered to a top global tire manufacturer.

Recent & Upcoming Talks