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Rajat Kumar Jenamani
rj277 [at] cornell [dot] edu

I am a second-year Ph.D. candidate at Cornell University, where I work with Tapomayukh Bhattacharjee on building caregiving robots that can assist individuals with activities of daily living.

Before Cornell, I received my bachelor's in Computer Science and Engineering from IIT Kharagpur, where I worked with Prof. P. P. Chakrabarti on multi-agent pathfinding. Over the summers, I had the pleasure of working with Prof. Maxim Likhachev at Carnegie Mellon University, with the Office 365 Ecosystem Team at Microsoft India, and with Prof. Siddhartha Srinivasa at University of Washington.

email   |   cv   |   github

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  • [Nov 2022]

    Gave talks at UW Robot Feeding Retreat and Ithaca Office for Aging Network Meeting on Building Robotic Caregivers.
  • [Oct 2022]

    RCareWorld won Best Robocup Paper Award at IROS 2022!
  • [Oct 2022]

    Gave a talk at Northeast Robotics Colloqium on Democratizing Robotic Caregiving.
  • [Jun 2022]

    SPARCS and RCareWorld were accepted to IROS 2022!
  • [Jun 2022]

    Helped organize the SoNIC Workshop with the aim to inspire underrepresented students to pursue graduate studies in tech fields.


SPARCS: Structuring Physically Assistive Robotics for Caregiving with Stakeholders-in-the-loop
R. Madan*, R. K. Jenamani*, V. T. Nguyen, A. Moustafa, X. Hu, K. Dimitropoulou, T. Bhattacharjee
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

RCareWorld: A Human-centric Simulation World for Caregiving Robots
R. Ye*, W. Xu*, H. Fu, R. K. Jenamani, V. Nguyen, C. Lu, K. Dimitropoulou and T. Bhattacharjee
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

Best Robocup Paper Award Winner, Finalist for Best Paper Award / Best Student Paper Award

Optimal Multi Agent Pathfinding for Non-Unit Edge Cost Domains and Precedence Constrained Tasks
R. K. Jenamani
B.Tech. Thesis - Indian Institute of Technology Kharagpur, 2021

Finalist for Best Thesis Award 2021 - CSE, IIT Kharagpur

Robotic Motion Planning using Learned Critical Sources and Local Sampling
R. K. Jenamani*, R. Kumar*, P. Mall* and K. Kedia*
IEEE International Conference on Robotics and Automation (ICRA), 2020 - ML in Planning and Control Workshop

Deep Learning rooted Potential Piloted RRT* for expeditious Path Planning
K. S. Reddy*, M. Bhat*, S. Aggarwal*, R. K. Jenamani*, J. Mukhopadhyay
International Conference on Automation, Control and Robotics Engineering (CACRE), 2019


Caregiving simulator advances research in assistive robotics
Cornell Chronicle, November 29, 2022

Novice roboticists find inspiration, community at SoNIC
Cornell Chronicle, 25 July 2022

Caregiving Robots at Cornell
IEEE Spectrum Video Friday, 14 January 2022

A Team Is Developing Robotic Arms to Feed People With Spinal Injuries
Interesting Engineering, 11 January 2022

Robot-assisted feeding the focus of $1.5M NSF grant
Cornell Chronicle, 10 January 2022

website adapted from here