Edward Schmerling

1.4k total citations · 1 hit paper
23 papers, 675 citations indexed

About

Edward Schmerling is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Edward Schmerling has authored 23 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Edward Schmerling's work include Robotic Path Planning Algorithms (9 papers), Autonomous Vehicle Technology and Safety (6 papers) and Real-time simulation and control systems (3 papers). Edward Schmerling is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Autonomous Vehicle Technology and Safety (6 papers) and Real-time simulation and control systems (3 papers). Edward Schmerling collaborates with scholars based in United States, Switzerland and Italy. Edward Schmerling's co-authors include Marco Pavone, Lucas Janson, Ashley Clark, Christopher Agia, J. Christian Gerdes, Issa Nesnas, Mo Chen, John M. Talbot, Mengxuan Zhang and Mattia Cenedese and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Edward Schmerling

23 papers receiving 650 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions

2015 325 citations Lucas Janson, Edward Schmerling et al. The International Journal of Robotics Research profile →

Peers

Edward Schmerling

CVPR

AE

CSE

AE

AI

Ángel Romero Switzerland

Duc Trung Tran Vietnam

Brandon Luders United States

Grady Williams United States

Brett T. Lopez United States

Mark Cutler United States

Alain Lambert France

Oren Salzman Israel

Egidio D’Amato Italy

Yuanlong Xie China

Ángel Romero Switzerland

Edward Schmerling

332 ×0.7

CVPR

284 ×1.1

AE

299 ×1.2

CSE

78 ×0.5

AE

110 ×0.8

AI

Citations per year, relative to Edward Schmerling Edward Schmerling (= 1×) peers Ángel Romero

Countries citing papers authored by Edward Schmerling

Since Specialization

Citations

This map shows the geographic impact of Edward Schmerling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edward Schmerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Schmerling more than expected).

Fields of papers citing papers by Edward Schmerling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Schmerling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edward Schmerling. The network helps show where Edward Schmerling may publish in the future.

Co-authorship network of co-authors of Edward Schmerling

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Schmerling. A scholar is included among the top collaborators of Edward Schmerling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward Schmerling. Edward Schmerling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Agia, Christopher, et al.. (2024). Real-Time Anomaly Detection and Reactive Planning with Large Language Models. 17 indexed citations

2.

Schmerling, Edward, et al.. (2024). ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 9285–9292. 3 indexed citations

3.

Zhao, Shengjia, et al.. (2024). Online Distribution Shift Detection via Recency Prediction. 13. 16251–16263. 1 indexed citations

4.

Cenedese, Mattia, et al.. (2023). Practical Deployment of Spectral Submanifold Reduction for Optimal Control of High-Dimensional Systems. IFAC-PapersOnLine. 56(2). 4074–4081. 4 indexed citations

5.

Chen, Yuxiao, et al.. (2023). Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. 1 indexed citations

6.

Sharma, Apoorva, et al.. (2023). Data Lifecycle Management in Evolving Input Distributions for Learning-Based Aerospace Applications. 1–10. 1 indexed citations

7.

Schmerling, Edward, et al.. (2023). Motion Planning for a Climbing Robot with Stochastic Grasps. 8 indexed citations

8.

Schmerling, Edward, et al.. (2023). Closing the Loop on Runtime Monitors with Fallback-Safe MPC. 6533–6540. 5 indexed citations

9.

Leung, Karen Ka Yan, Sushant Veer, Edward Schmerling, & Marco Pavone. (2023). Learning Autonomous Vehicle Safety Concepts from Demonstrations. 3193–3200. 3 indexed citations

10.

Pinto, Alessandro, et al.. (2023). Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System. 42. 34–43. 1 indexed citations

11.

Cenedese, Mattia, et al.. (2023). Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. 2627–2633. 19 indexed citations

12.

Agia, Christopher, et al.. (2023). Semantic anomaly detection with large language models. Autonomous Robots. 47(8). 1035–1055. 46 indexed citations

13.

Zhao, Shengjia, et al.. (2023). Sample-efficient safety assurances using conformal prediction. The International Journal of Robotics Research. 43(9). 1409–1424. 5 indexed citations

14.

Jain, Shobhit, et al.. (2022). Using Spectral Submanifolds for Nonlinear Periodic Control. 2022 IEEE 61st Conference on Decision and Control (CDC). 6548–6555. 5 indexed citations

15.

Schmerling, Edward, Mengxuan Zhang, Mo Chen, et al.. (2020). On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions. The International Journal of Robotics Research. 39(10-11). 1326–1345. 59 indexed citations

16.

Ichter, Brian, Benoit Landry, Edward Schmerling, & Marco Pavone. (2017). Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.. arXiv (Cornell University). 3 indexed citations

17.

Schmerling, Edward, et al.. (2016). Real-time, propellant-optimized spacecraft motion planning under Clohessy-Wiltshire-Hill dynamics. 1–16. 11 indexed citations

18.

Janson, Lucas, Edward Schmerling, Ashley Clark, & Marco Pavone. (2015). Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. The International Journal of Robotics Research. 34(7). 883–921. 325 indexed citations breakdown →

19.

Schmerling, Edward, Lucas Janson, & Marco Pavone. (2015). Optimal sampling-based motion planning under differential constraints: The driftless case. PubMed. 2015. 2368–2375. 40 indexed citations

20.

Schmerling, Edward, et al.. (2015). A convex optimization approach to smooth trajectories for motion planning with car-like robots. 835–842. 73 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact