Dipam Patel
Scholar

Dipam Patel

Google Scholar ID: lKI3gocAAAAJ
PhD Student in CS, Purdue University
RoboticsReinforcement Learning
Citations & Impact
All-time
Citations
19
 
H-index
3
 
i10-index
0
 
Publications
12
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • - Paper 'LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation' submitted to ICRA 2026
  • - Paper 'Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM' presented at IROS 2025
  • - Paper 'Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications' presented at CoRL 2024
  • - Paper 'DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems' submitted on arXiv 2023
  • - Paper 'DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing Neural Radiance Fields' presented at IROS 2023
  • - Paper 'Heuristic-based optimal path planning for neurosurgical tumor ablation' presented at SPIE 2019
  • - Paper 'Six Sigma Improvement Opportunities in the Working Techniques of Bachhpan NGO' presented at ICETME 2017
  • - Paper 'Mechanically Operated Cart for Pesticide Sprayer for Agriculture' published in IJIRSET 2016
Research Experience
  • - RA-M Co-Chair, IEEE RAS Student Activities Committee
  • - NASA Spacesuit User Interface Technologies for Students (SUITS) 2024: Team JARVIS, Purdue University, West Lafayette, USA
Education
  • - PhD Student, Computer Science, Purdue University, West Lafayette, USA
  • - Research Assistant, Army Research Lab, Purdue University, West Lafayette, USA
  • - Robotics Software Engineer, Airgility Inc., Maryland, USA
  • - Master of Engineering, Robotics, University of Maryland, College Park, USA
  • - Bachelor of Engineering, Mechanical Engineering, Gujarat Technological University, India
Background
  • Research interests: The intersection of Robotics & AI, focusing on Interactive Navigation for Legged Mobile Manipulators in unstructured, cluttered, and unpredictable environments using Reinforcement Learning. Advisor: Aniket Bera, working at IDEAS Lab, Purdue University.
Miscellany
  • Thrilled about the future where open source will lead every technological breakthrough.