Gaurav Sukhatme
14 papers · 2013–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(33)
π
Keyword Champion
π₯
Mega-Team
(25)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(14)
ποΈ
Keyword Collector
(77)
β‘
Prolific Year
(5)
Conferences
RSS (4)
CORL (3)
NIPS (3)
ICML (2)
AAAI (1)
L4DC (1)
Top co-authors
Research topics
Keywords
motion planning
(5)
sampling-based planning
(2)
trajectory optimization
(2)
deep reinforcement learning
(2)
reinforcement learning
(2)
embodied ai
(1)
sim-to-real transfer
(1)
representation learning
(1)
imitation learning
(1)
offline reinforcement learning
(1)
model-based planning
(1)
vision-language navigation
(1)
sample efficiency
(1)
instruction following
(1)
branch and bound
(1)
robotic grasping
(1)
state estimation
(1)
continual learning
(1)
model-based reinforcement learning
(1)
model compression
(1)
Papers
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation
AAAI 2024
Generating Behaviorally Diverse Policies with Latent Diffusion Models
NIPS 2023
Alexa Arena: A User-Centric Interactive Platform for Embodied AI
NIPS 2023
Sampling-Based Motion Planning on Sequenced Manifolds
RSS 2021
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
L4DC 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
ICML 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
CORL 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
CORL 2020
Learning Equality Constraints for Motion Planning on Manifolds
CORL 2020
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
ICML 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
NIPS 2017
Trajectory Optimization for Self-Calibration and Navigation
RSS 2017
A Topological Approach to Using Cables to Separate and Manipulate Sets of Objects
RSS 2013
Sampling-based Motion Planning for Robotic Information Gathering
RSS 2013