Covid-19 Predictor
2020 Summer Data Science Exchange
Web app presenting time-series analysis and SIR modeling for the spread of Covid-19 in individual states.
Posts by Collection
publications
Drone Path Planning
Berkeley FHL Vive Center for Enhanced Reality
Adaptation and analysis of 4D A* and RRT* algorithms for drone obstacle avoidance in simulation.
ConceptFusion Text Embedding
I designed a novel embedding type for code search inspired by a local-global fusion technique in vision originated by the ConceptFusion paper.
CalPERS Divestment Report
Fossil Free California Blog 2021
Analysis of the quantity, value, and trends of CalPERS’s publicly disclosed holdings of equities and bonds in fossil fuel production companies and the broader fossil fuel industry.
Completed during the Undergraduate Research Apprentice Program advised by Professor Clair Brown.
PolyPoD: An Algorithm for Polyculture Seed Placement
IEEE International Conference on Automation Science and Engineering (CASE) 2023
We present PolyPoD, a new algorithm for seed placement. Given a polygonal farm boundary, number and types of seeds, PolyPoD generates the variable radius poisson disk distribution to compute viable seed placements. Results suggest that PolyPoD does better than our previous seed placement algorithm in avoiding over-competition, utilization of space, and plant segmentation. Link coming soon.
Varun Kamat, Shrey Aeron, Anrui Gu, Harshika Jalan, Simeon Adebola, Ken Goldberg
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception
IEEE International Conference on Robotics and Automation (ICRA) 2023
This paper extends prior work on autonomously untangling long cables by introducing novel uncertainty quantification metrics and actions that interact with the cable to reduce perception uncertainty. We present Sliding and Grasping for Tangle Manipulation 2.0 (SGTM 2.0), a system that autonomously untangles cables. Experiments suggest that SGTM 2.0 can achieve 83% untangling success on cables with 1 or 2 overhand and figure-8 knots, and 70% termination detection success across these configurations, outperforming SGTM 1.0 by 43% in untangling accuracy and 200% in full rollout speed.
Kaushik Shivakumar*, Vainavi Viswanath*, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg. (* equal contribution)
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
Conference on Robot Learning (CoRL) 2023
In this work, we propose addressing both multimodality and distribution shift with Implicit Interactive Fleet Learning (IIFL), the first extension of implicit policies to interactive imitation learning (including the single-robot, single-human setting). It achieves 4.5x higher return on human effort in simulation experiments and an 80% higher success rate in a physical block pushing task over (Explicit) IFL, IBC, and other baselines when human supervision is heterogeneous.
Gaurav Datta*, Ryan Hoque*, Anrui Gu, Eugen Solowjow, Ken Goldberg (* equal contribution)
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.