activity
20152024
most citedTowards Proving the Adversarial Robustness of Deep Neural Networks

119 citations · 371 across the 57 of their papers we have counts for

collaborators

131 papers

cs.RO2024

Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments

Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer +1

To achieve autonomy in complex real-world exploration missions, we consider deployment strategies for a team of robots with heterogeneous autonomy capabilities. In this work, we fo…

cs.RO2023

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments

Bernard Lange, Jiachen Li, Mykel J. Kochenderfer

Navigating complex and dynamic environments requires autonomous vehicles (AVs) to reason about both visible and occluded regions. This involves predicting the future motion of obse…

cs.LO2023★ 1 cited

Satisfiability.jl: Satisfiability Modulo Theories in Julia

Emiko Soroka, Mykel J. Kochenderfer, Sanjay Lall

Satisfiability modulo theories (SMT) is a core tool in formal verification. While the SMT-LIB specification language can be used to interact with theorem proving software, a high-l…

cs.RO2023

Efficient Determination of Safety Requirements for Perception Systems

Sydney M. Katz, Anthony L. Corso, Esen Yel +1

Perception systems operate as a subcomponent of the general autonomy stack, and perception system designers often need to optimize performance characteristics while maintaining saf…

eess.SY2023★ 2 cited

Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis

Ali Baheri, Mykel J. Kochenderfer

Safety validation is a crucial component in the development and deployment of autonomous systems, such as self-driving vehicles and robotic systems. Ensuring safe operation necessi…

cs.LG2023★ 8 cited

Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems

Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel +1

Estimating the probability of failure is an important step in the certification of safety-critical systems. Efficient estimation methods are often needed due to the challenges pose…