conftrace_

Russ Tedrake

39 papers · 2008–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ’Ž Century Club (39) ⚑ Prolific Year (6) ❓ The Questioner (4) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (164)

Conferences

RSS (13) CORL (7) NIPS (7) ICLR (5) ICML (4) CVPR (2) L4DC (1)

Papers

Steerable Scene Generation with Post Training and Inference-Time Search CORL 2025 Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization RSS 2025 Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning RSS 2025 History-Guided Video Diffusion ICML 2025 Should VLMs be Pre-trained with Image Data? ICLR 2025 Robot Fleet Learning via Policy Merging ICLR 2024 Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NIPS 2024 OpenVLA: An Open-Source Vision-Language-Action Model CORL 2024 Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation ICML 2024 Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots RSS 2024 PoCo: Policy Composition from and for Heterogeneous Robot Learning RSS 2024 Towards Tight Convex Relaxations for Contact-Rich Manipulation RSS 2024 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023 Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior NIPS 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Smoothed Online Learning for Prediction in Piecewise Affine Systems NIPS 2023 Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC 2023 Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets RSS 2023 Learning Multi-Object Dynamics with Compositional Neural Radiance Fields CORL 2022 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 Globally Convergent Policy Search for Output Estimation NIPS 2022 Lyapunov-stable neural-network control RSS 2021 Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning CORL 2021 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis ICML 2020 Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems NIPS 2020 Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning CORL 2020 Evaluating Robustness of Neural Networks with Mixed Integer Programming ICLR 2019 Connecting Touch and Vision via Cross-Modal Prediction CVPR 2019 FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization CVPR 2019 Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids ICLR 2019 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NIPS 2018 SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction RSS 2018 Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation CORL 2018 Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload RSS 2017 Balancing and Step Recovery Capturability via Sums-of-Squares Optimization RSS 2017 Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures RSS 2013 Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008 Metastable Walking on Stochastically Rough Terrain RSS 2008