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D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6210
World Ranking
8634
National Ranking
2398

Overview

Sachin Patil is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Pollution, and Analytical Chemistry.

The main topics covered in their work include:

  • Imbalanced Data Classification Techniques
  • Electricity Theft Detection Techniques
  • Machine Learning and Algorithms
  • Reinforcement Learning in Robotics
  • Bayesian Modeling and Causal Inference
  • Image Enhancement Techniques
  • Oil Spill Detection and Mitigation

Patil has published extensively across various venues, with frequent contributions to:

  • Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Image Graphics and Signal Processing
  • Regional Studies in Marine Science
  • arXiv (Cornell University)

Recent papers authored or coauthored by Patil include:

  • "Efficient Approximate Value Iteration for Continuous Gaussian POMDPs," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Underwater Image Refinement: Color Distanceand Image Formation Model (DIMFM)," 2024, International Journal of Image Graphics and Signal Processing
  • "Innovative oil skimmer machine for liquid contaminant removal: An environmental friendly approach," 2025, Regional Studies in Marine Science
  • "Quality Circle: A Case Study on Automatic Token Generation System for RIT Library," 2023, Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation
  • "Robotic Barrier Construction through Weaved, Inflatable Tubes," 2023, arXiv (Cornell University)

Patil's research collaborations include frequent partnerships with:

  • Vilabha S. Patil
  • Jur van den Berg
  • Ron Alterovitz
  • Shilpa P. Gaikwad
  • P Desai

The work contributed by Sachin Patil integrates advanced methodologies in artificial intelligence and machine learning, alongside practical applications in engineering such as robotics and environmental technology. Their studies have addressed issues in image enhancement, oil spill detection and mitigation, and reinforcement learning applied to robotics systems. Additionally, there is significant focus on classification techniques and electricity theft detection, highlighting a blend of theoretical and applied research areas.

This profile demonstrates Patil's multidisciplinary approach, bridging core computer science concepts with relevant engineering solutions and environmental concerns through published research.

Best Publications

  • A Survey of Research on Cloud Robotics and Automation

    Ben Kehoe;Sachin Patil;Pieter Abbeel;Ken Goldberg

  • Motion planning with sequential convex optimization and convex collision checking

    John Schulman;Yan Duan;Jonathan Ho;Alex Lee

  • Motion planning under uncertainty using iterative local optimization in belief space

    Jur Van Den Berg;Sachin Patil;Ron Alterovitz

  • Interactive navigation of multiple agents in crowded environments

    Jur van den Berg;Sachin Patil;Jason Sewall;Dinesh Manocha

  • Directing Crowd Simulations Using Navigation Fields

    Sachin Patil;Jur van den Berg;Sean Curtis;Ming C Lin

  • Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning:

    Sanjay Krishnan;Animesh Garg;Sachin Patil;Colin Lea

  • Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms

    Adithyavairavan Murali;Siddarth Sen;Ben Kehoe;Animesh Garg

  • Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping

    Benjamin Charrow;Gregory Kahn;Sachin Patil;Sikang Liu

  • Needle Steering in 3-D Via Rapid Replanning

    Sachin Patil;Jessica Burgner;Robert J. Webster;Ron Alterovitz

  • Needle path planning and steering in a three-dimensional non-static environment using two-dimensional ultrasound images

    Gustaaf J. Vrooijink;Momen Abayazid;Sachin Patil;Ron Alterovitz

  • Autonomous multilateral debridement with the Raven surgical robot

    Ben Kehoe;Gregory Kahn;Jeffrey Mahler;Jonathan Kim

  • Estimating probability of collision for safe motion planning under Gaussian motion and sensing uncertainty

    Sachin Patil;Jur van den Berg;Ron Alterovitz

  • Interactive motion planning for steerable needles in 3D environments with obstacles

    Sachin Patil;Ron Alterovitz

  • Effectiveness of directional vibrotactile cuing on a building-clearing task

    Robert W. Lindeman;John L. Sibert;Erick Mendez-Mendez;Sachin Patil

  • Rapidly-exploring roadmaps: Weighing exploration vs. refinement in optimal motion planning

    Ron Alterovitz;Sachin Patil;Anna Derbakova

  • Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation

    Sachin Patil;Gregory Kahn;Michael Laskey;John Schulman

  • Composite agents

    H. Yeh;S. Curtis;S. Patil;J. van den Berg

  • A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery

    Stephen McKinley;Animesh Garg;Siddarth Sen;Rishi Kapadia

  • High-Frequency Replanning Under Uncertainty Using Parallel Sampling-Based Motion Planning

    Wen Sun;Sachin Patil;Ron Alterovitz

  • Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression

    Jeffrey Mahler;Sanjay Krishnan;Michael Laskey;Siddarth Sen

  • Transition state clustering

    Sanjay Krishnan;Animesh Garg;Sachin Patil;Colin Lea

Frequent Co-Authors

Ken Goldberg
Ken Goldberg University of California, Berkeley
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Ron Alterovitz
Ron Alterovitz University of North Carolina at Chapel Hill
Jur van den Berg
Jur van den Berg University of Utah
Animesh Garg
Animesh Garg University of Toronto
Sarthak Misra
Sarthak Misra University of Groningen
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Ming C. Lin
Ming C. Lin University of Maryland, College Park
Allison M. Okamura
Allison M. Okamura Stanford University

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