revanth senthilkumaran

M.S. Robotics @ Carnegie Mellon University

Robot Learning Intern @ Bosch Center for AI

Embodied Reasoning • Cross-embodiment learning • Manipulation & perception

about me

I'm a robotics researcher at Carnegie Mellon University pursuing my M.S. in Robotics, working with Prof. Ding Zhao in the SAFE-AI Lab. I'm also mentored by Dr. Jonathan Francis in the Bosch Center for AI. My research focuses on enabling robots to better perceive, reason about, and manipulate their environments through learning-based approaches.

research interests

Reasoned Perception & Manipulation: Developing robots that can understand and interact with complex environments through embodied reasoning
Learning from Demonstrations: Enabling robots to learn manipulation skills from human demonstrations and videos
Generalizable Policies: Creating robot policies that transfer across different embodiments and environments
Human-Robot Collaboration: Building robots that can effectively assist humans in everyday tasks

Background: B.S. in Computer Engineering from Purdue University. Previously worked at AeroVironment Inc. as a Robotics Software Engineer and conducted research at Purdue's IDEAS Lab, SMART Lab, and the Air Force Research Laboratory.

Beyond Research: I play basketball, follow a lot of sports, play piano, and enjoy exploring new food spots.

latest updates

[AUG 2025] Started M.S. in Robotics at Carnegie Mellon University

[JUN 2024] MOCAS dataset paper accepted to IEEE-TAFFC 2024

[APR 2024] Presented ARTEMIS at Purdue Spring Undergraduate Research Expo and won 2nd place in College of Science Category

[JUN 2023] UPPLIED paper published in IEEE-IROS 2023

research projects

Humanoid Touch Dream: Learning Versatile Humanoid Manipulation with Touch Dreaming

Authors: Yaru Niu, Zhenlong Fang, Binghong Chen, Shuai Zhou, Revanth K. Senthilkumaran, Hao Zhang, Bingqing Chen, Chen Qiu, H. Eric Tseng, Jonathan Francis, Ding Zhao

Status: Preprint 2026

Abstract Project Page Paper GitHub Summary