Sudarshan Harithas

Dept. of Computer Science Brown University.

I’m a third-year PhD student in the Department of Computer Science at Brown University, advised by Prof. Srinath Sridhar. Previously, I graduated from the International Institute of Information Technology Hyderabad (IIIT-H) with an MS in Computer Science, where I worked with Prof. K Madhava Krishna.

Broadly, I am interested in developing general purpose robots that can actively interact with the world and perform a diverse range of tasks. Towards this goal I intend to develop cross-embodied policies that enable autonomous robots to acquire complex behaviors by jointly learning from their own experiences as well as transfer skills from multiple other embodiments.

🔬 Research Focus

  1. 🧠 Embodiment-Agnostic Representations
    Develop representations that minimize the embodiment gap, enabling seamless transfer of manipulation and loco-manipulation skills from humans to robots such as humanoids and multi-fingered dexterous hands.

  2. 🤖 Cross-Embodied Action Generation
    Design architectures and learning algorithms for cross-embodiment action generation, allowing skills to generalize across diverse robot morphologies.

  3. 📊 Multi-Embodiment Data Infrastructure
    Build scalable data-capture infrastructure for multi-embodiment action datasets.

news

Oct 2026 Introducing BRACE!
Jun 2026 DreamControl-v2 accepted at IROS 2026! See you all in Pittsburgh! IROS 2026 logo
Jun 2026 Started my summer internship at Multiply Labs.
Sep/Dec 2025 Introducing DreamControl/v2, scalable generative priors for whole-body humanoid interaction tasks.
Jun 2025 Started a summer internship at General Robotics, working on humanoid robots.

selected publications

  1. brace.gif
    BRACE: Adapting Whole-Body References for Force and Terrain Aware Humanoid Motion Tracking
    Sudarshan Harithas, Chen Yu, Juan Borbon, Shubhankar Mondal, Winston Zha, Srinath Sridhar, Dingqi Zhang, and Jiuguang Wang
    arXiv preprint arXiv:2610.07052, 2026
  2. dreamcontrol_v2.png
    DreamControl-v2: Simpler and Scalable Autonomous Humanoid Skills via Trainable Guided Diffusion Priors.
    Sdarshan S. Harithas, Sangkyung Kwak, Pushkal Katara, Srujan Deolasee, Dvij Kalaria, Srinath Sridhar, Sai Vemprala, Ashish Kapoor, and Jonathan Chung-Kuan Huang.
    In IROS 2026
  3. dream_control.gif
    DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion
    Dvij Kalaria, Sudarshan S. Harithas, Pushkal Katara, Sangkyung Kwak, Sarthak Bhagat, Shankar Sastry, Srinath Sridhar, Sai H. Vemprala, Ashish Kapoor, and Jonathan Chung-Kuan Huang
    In ICRA 2026
  4. motionglot.gif
    MotionGlot: A multi embodied Motion Generator.
    Sudarshan S Harithas, and Srinath Sridhar
    In ICRA 2025,
    Accepted at X-Embodiment Workshop CORL 2024
  5. SimulationUrbanFly.gif
    Urbanfly: Uncertainty-aware planning for navigation amongst high-rises with monocular visual-inertial slam maps
    Sudarshan S Harithas, Ayyappa Swamy Thatavarthy, Gurkirat Singh, Arun K Singh, and K Madhava Krishna
    In 2023 American Control Conference (ACC)
  6. simulation.gif
    Cco-voxel: Chance constrained optimization over uncertain voxel-grid representation for safe trajectory planning
    Sudarshan S Harithas, Rishabh Dev Yadav, Deepak Singh, Arun Kumar Singh, and K Madhava Krishna
    In 2022 International Conference on Robotics and Automation (ICRA)
  7. ldc.gif
    FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation.
    Sudarshan S Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, and Madhava Krishna
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024