Siddhartha Srinivasa
40 papers · 2008–2025 · 11 conferences · across top CS/AI conferences
Achievements
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(9)
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Century Club
(40)
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(5)
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Conferences
RSS (16)
CORL (7)
ICML (4)
CVPR (2)
ICLR (2)
IJCAI (2)
L4DC (2)
NIPS (2)
AISTATS (1)
EMNLP (1)
JMLR (1)
Top co-authors
Research topics
Keywords
motion planning
(9)
robot manipulation
(5)
human-robot interaction
(5)
reinforcement learning
(4)
edge evaluation
(4)
bayesian active learning
(3)
trajectory optimization
(3)
grasp planning
(3)
trajectory generation
(2)
physics simulation
(2)
policy gradient
(2)
3d reconstruction
(2)
imitation learning
(2)
autonomous vehicle
(2)
trajectory prediction
(2)
gradient descent
(2)
heuristic search
(2)
robotic manipulation
(2)
partially observable markov decision process
(2)
nonlinear control
(2)
Papers
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
CORL 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
JMLR 2025
DriveGPT: Scaling Autoregressive Behavior Models for Driving
ICML 2025
ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
CORL 2025
Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
CORL 2025
Causal Composition Diffusion Model for Closed-loop Traffic Generation
CVPR 2025
Generative Data Mining with Longtail-Guided Diffusion
ICML 2025
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
ICLR 2024
Demonstrating HOUND: A Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving
RSS 2024
Cherry-Picking with Reinforcement Learning
RSS 2023
Towards General Single-Utensil Food Acquisition with Human-Informed Actions
CORL 2023
NEWTON: Are Large Language Models Capable of Physical Reasoning?
EMNLP 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries
ICLR 2023
Faster Policy Learning with Continuous-Time Gradients
L4DC 2021
Influencing Behavioral Attributions to Robot Motion During Task Execution
CORL 2021
Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning
RSS 2021
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
CORL 2020
Lyceum: An efficient and scalable ecosystem for robot learning
L4DC 2020
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback
RSS 2020
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
CORL 2020
The Provable Virtue of Laziness in Motion Planning
IJCAI 2019
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
NIPS 2019
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
CVPR 2019
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees
ICML 2019
Leveraging Experience in Lazy Search
RSS 2019
Recurrent Predictive State Policy Networks
ICML 2018
Bayesian Active Edge Evaluation on Expensive Graphs
IJCAI 2018
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
NIPS 2017
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
RSS 2016
Shared Autonomy via Hindsight Optimization
RSS 2015
Chisel: Real Time Large Scale 3D Reconstruction Onboard a Mobile Device using Spatially Hashed Signed Distance Fields
RSS 2015
Near Optimal Bayesian Active Learning for Decision Making
AISTATS 2014
An Analysis of Deceptive Robot Motion
RSS 2014
Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty
RSS 2014
Generating Legible Motion
RSS 2013
Pregrasp Manipulation as Trajectory Optimization
RSS 2013
Physics-Based Grasp Planning Through Clutter
RSS 2012
Formalizing Assistive Teleoperation
RSS 2012
A Framework for Push-Grasping in Clutter
RSS 2011
BiSpace Planning: Concurrent Multi-Space Exploration
RSS 2008