Animesh Garg

Ph.D. Student
Automation Lab
Operations Research
Computer Science
UC, Berkeley

Email me: animesh·garg@berkeley·edu

Find me on:
· · ·


I am a Ph.D. student in Operations Research and MS student in Computer Science at University of California, Berkeley. I am a member of the Automation Lab advised by Ken Goldberg. I also work closely with Pieter Abbeel, Alper Atamturk and UCSF Radiation Oncology.
Complete list of collaborators.

Research Interests: Optimization (Mixed Integer, Non linear), Machine Learning and AI in Robotics & Healthcare Applications.
I envision enabling ease of robot operation by laymen to an extent where the user manual becomes unnecessary. I study integration of algorithms with hardware design for applications in medical robotics and healthcare. I aim to develop models for human-machine collaboration, skill-augmentation, semi-supervised autonomy and healthcare decision support. My work employs and contributes to techniques in non-convex discrete optimization and representation learning.

Recent Research

In my Ph.D., I have primarily worked on algorithmic solutions for challenges in:

Learning & Automation in Surgical Subtasks
We are working towards surgical sub-task automation and exploring a data driven approach for reduction in training effort with unsupervised task structure learning. Recently, we considered a ‘Learning by Observation’ approach for multilateral cutting, and also presented a disposable tactile probe for RMIS. Read More
Brachytherapy for Cancer: Planning and Delivery
Internal form of radiotherapy for cancer treatment, known as Brachytherapy, involves radioactive source placement in proximity to or within the tumor. We have worked on novel treatment planning and patient specific delivery methods for interstitial (e.g. prostate) and intracavitary (e.g. oral/thoracic, GYN) tumors.
Read More

Recent News

Recent Blog

Locations of visitors to this page