Search Results - "Kochenderfer, Mykel"

Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior by Morton, Jeremy, Wheeler, Tim A., Kochenderfer, Mykel J.

“…The validity of any traffic simulation model depends on its ability to generate representative driver acceleration profiles. This paper studies the…”
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A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems by Corso, Anthony, Moss, Robert, Koren, Mark, Lee, Ritchie, Kochenderfer, Mykel

“…Autonomous cyber-physical systems (CPS) can improve safety and efficiency for safety-critical applications, but require rigorous testing before deployment. The…”
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Personalizing exoskeleton assistance while walking in the real world by Slade, Patrick, Kochenderfer, Mykel J., Delp, Scott L., Collins, Steven H.

“…Personalized exoskeleton assistance provides users with the largest improvements in walking speed 1 and energy economy 2 – 4 but requires lengthy tests under…”
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Improving Automated Driving Through POMDP Planning With Human Internal States by Sunberg, Zachary, Kochenderfer, Mykel J.

“…This work examines the hypothesis that partially observable Markov decision process (POMDP) planning with human driver internal states can significantly…”
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Efficient Large-Scale Multi-Drone Delivery using Transit Networks by Choudhury, Shushman, Solovey, Kiril, Kochenderfer, Mykel J., Pavone, Marco

“…We consider the problem of routing a large fleet of drones to deliver packages simultaneously across broad urban areas. Besides flying directly, drones can use…”
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Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving by Hoel, Carl-Johan, Driggs-Campbell, Katherine, Wolff, Krister, Laine, Leo, Kochenderfer, Mykel J.

“…Tactical decision making for autonomous driving is challenging due to the diversity of environments, the uncertainty in the sensor information, and the complex…”
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Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data by Barratt, Shane T., Kochenderfer, Mykel J., Boyd, Stephen P.

“…Models for predicting aircraft motion are an important component of modern aeronautical systems. These models help aircraft plan collision avoidance maneuvers…”
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Sensing leg movement enhances wearable monitoring of energy expenditure by Slade, Patrick, Kochenderfer, Mykel J., Delp, Scott L., Collins, Steven H.

“…Physical inactivity is the fourth leading cause of global mortality. Health organizations have requested a tool to objectively measure physical activity…”
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EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning by Menda, Kunal, Driggs-Campbell, Katherine, Kochenderfer, Mykel J.

“…Although imitation learning is often used in robotics, the approach frequently suffers from data mismatch and compounding errors. DAgger is an iterative…”
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Active preference-based Gaussian process regression for reward learning and optimization by Bıyık, Erdem, Huynh, Nicolas, Kochenderfer, Mykel J., Sadigh, Dorsa

“…Designing reward functions is a difficult task in AI and robotics. The complex task of directly specifying all the desirable behaviors a robot needs to…”
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Explaining COVID-19 outbreaks with reactive SEIRD models by Menda, Kunal, Laird, Lucas, Kochenderfer, Mykel J., Caceres, Rajmonda S.

“…COVID-19 epidemics have varied dramatically in nature across the United States, where some counties have clear peaks in infections, and others have had a…”
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Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning by Bhattacharyya, Raunak, Wulfe, Blake, Phillips, Derek J., Kuefler, Alex, Morton, Jeremy, Senanayake, Ransalu, Kochenderfer, Mykel J.

“…An open problem in autonomous vehicle safety validation is building reliable models of human driving behavior in simulation. This work presents an approach to…”
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Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation by Li, Jiachen, Isele, David, Lee, Kanghoon, Park, Jinkyoo, Fujimura, Kikuo, Kochenderfer, Mykel J.

“…Deep reinforcement learning (DRL) provides a promising way for intelligent agents (e.g., autonomous vehicles) to learn to navigate complex scenarios. However,…”
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Learning Traffic Patterns at Small Airports From Flight Tracks by Mahboubi, Zouhair, Kochenderfer, Mykel J.

“…The majority of reported near-midair collisions that involve a general aviation aircraft occur in the vicinity of nontowered airports. A prior work has…”
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Dynamic multi-robot task allocation under uncertainty and temporal constraints by Choudhury, Shushman, Gupta, Jayesh K., Kochenderfer, Mykel J., Sadigh, Dorsa, Bohg, Jeannette

“…We consider the problem of dynamically allocating tasks to multiple agents under time window constraints and task completion uncertainty. Our objective is to…”
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Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision by Slade, Patrick, Tambe, Arjun, Kochenderfer, Mykel J

“…Globally, more than 250 million people have impaired vision and face challenges navigating outside their homes, affecting their independence, mental health,…”
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Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning by Carlberg, Kevin T., Jameson, Antony, Kochenderfer, Mykel J., Morton, Jeremy, Peng, Liqian, Witherden, Freddie D.

“…Data I/O poses a significant bottleneck in large-scale CFD simulations; thus, practitioners would like to significantly reduce the number of times the solution…”
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Scalable Online Planning for Multi-Agent MDPs by Choudhury, Shushman, Gupta, Jayesh K., Morales, Peter, Kochenderfer, Mykel J.

“…We present a scalable tree search planning algorithm for large multi-agent sequential decision problems that require dynamic collaboration. Teams of agents…”
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Global optimization of objective functions represented by ReLU networks by Strong, Christopher A., Wu, Haoze, Zeljić, Aleksandar, Julian, Kyle D., Katz, Guy, Barrett, Clark, Kochenderfer, Mykel J.

“…Neural networks can learn complex, non-convex functions, and it is challenging to guarantee their correct behavior in safety-critical contexts. Many approaches…”
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A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering by Bhattacharyya, Raunak, Jung, Soyeon, Kruse, Liam A., Senanayake, Ransalu, Kochenderfer, Mykel J.

“…Autonomous vehicles need to model the behavior of surrounding human driven vehicles to be safe and efficient traffic participants. Existing approaches to…”
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