Siddhartha Srinivasa

ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning CoRL 2025 Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025 DriveGPT: Scaling Autoregressive Behavior Models for Driving ICML 2025 Generative Data Mining with Longtail-Guided Diffusion ICML 2025 Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps CoRL 2025 On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025 VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision CoRL 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 Git Re-Basin: Merging Models modulo Permutation Symmetries ICLR 2023 NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP 2023 Towards General Single-Utensil Food Acquisition with Human-Informed Actions CoRL 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 Learning from Interventions: Human-robot interaction as both explicit and implicit feedback RSS 2020 Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020 Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections CoRL 2020 Iterative Linearized Control: Stable Algorithms and Complexity Guarantees ICML 2019 Leveraging Experience in Lazy Search RSS 2019 Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation NeurIPS 2019 Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019 The Provable Virtue of Laziness in Motion Planning IJCAI 2019 Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018 Recurrent Predictive State Policy Networks ICML 2018 Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NeurIPS 2017 Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces RSS 2016 Chisel: Real Time Large Scale 3D Reconstruction Onboard a Mobile Device using Spatially Hashed Signed Distance Fields RSS 2015 Shared Autonomy via Hindsight Optimization RSS 2015 An Analysis of Deceptive Robot Motion RSS 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 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 Formalizing Assistive Teleoperation RSS 2012 Physics-Based Grasp Planning Through Clutter RSS 2012 A Framework for Push-Grasping in Clutter RSS 2011 BiSpace Planning: Concurrent Multi-Space Exploration RSS 2008 Inverse Optimal Heuristic Control for Imitation Learning AISTATS 2005