Edward Schmerling
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Language-Image Models with 3D Understanding. | Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krhenbhl, Yan Wang, Marco Pavone |
| 2025 | ICRA | Realistic Extreme Behavior Generation for Improved AV Testing. | Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone |
| 2024 | CoRL | Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. | Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone |
| 2024 | ICRA | Online Distribution Shift Detection via Recency Prediction. | Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone |
| 2024 | ICRA | ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. | Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone |
| 2023 | ICRA | Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. | John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone |
| 2023 | ICRA | Motion Planning for a Climbing Robot with Stochastic Grasps. | Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone |
| 2022 | AISTATS | A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. | Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone |
| 2022 | AISTATS | Second-Order Sensitivity Analysis for Bilevel Optimization. | Robert Dyro, Edward Schmerling, Nikos Archiga, Marco Pavone |
| 2022 | ECCV | Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. | Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone |
| 2022 | ISRR | Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. | Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone |
| 2022 | UAI | Local calibration: metrics and recalibration. | Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone |
| 2022 | WAFR | Sample-Efficient Safety Assurances Using Conformal Prediction. | Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone |
| 2020 | ICRA | Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. | Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust |
| 2020 | ICRA | Revisiting the Asymptotic Optimality of RRT. | Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone |
| 2018 | IROS | Generative Modeling of Multimodal Multi-Human Behavior. | Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone |
| 2018 | ICRA | Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. | Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone |
| 2017 | ICRA | Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. | Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone |
| 2017 | ISRR | Perception-Aware Motion Planning via Multiobjective Search on GPUs. | Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone |
| 2015 | IROS | An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. | Joseph A. Starek, Javier V. Gmez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone |
| 2015 | ICRA | Optimal sampling-based motion planning under differential constraints: The driftless case. | Edward Schmerling, Lucas Janson, Marco Pavone |
| 2015 | ICRA | Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach. | Sumeet Singh, Edward Schmerling, Marco Pavone |
| 2015 | ISRR | Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. | Lucas Janson, Edward Schmerling, Marco Pavone |