Search Results - "Herbert, Sylvia L."
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1
Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems
Published in IEEE transactions on automatic control (01-11-2018)“…Reachability analysis provides formal guarantees for performance and safety properties of nonlinear control systems. Here, one aims to compute the backward…”
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Journal Article -
2
FaSTrack:A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
Published in IEEE transactions on automatic control (01-12-2021)“…Real-time, guaranteed safe trajectory planning is vital for navigation in unknown environments. However, real-time navigation algorithms typically sacrifice…”
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Journal Article -
3
Confidence-aware motion prediction for real-time collision avoidance1
Published in The International journal of robotics research (01-03-2020)“…One of the most difficult challenges in robot motion planning is to account for the behavior of other moving agents, such as humans. Commonly, practitioners…”
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Journal Article -
4
Robust Control Barrier-Value Functions for Safety-Critical Control
Published in 2021 60th IEEE Conference on Decision and Control (CDC) (01-01-2021)“…This paper works towards unifying two popular approaches in the safety control community: Hamilton-Jacobi (HJ) reachability and Control Barrier Functions…”
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Conference Proceeding -
5
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Published in IEEE Open Journal of Control Systems (2024)“…Recent literature has proposed approaches that learn control policies with high performance while maintaining safety guarantees. Synthesizing Hamilton-Jacobi…”
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6
Reachability-Based Safety Guarantees using Efficient Initializations
Published in 2019 IEEE 58th Conference on Decision and Control (CDC) (01-12-2019)“…Hamilton-Jacobi-Isaacs (HJI) reachability analysis is a powerful tool for analyzing the safety of autonomous systems. This analysis is computationally…”
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Conference Proceeding -
7
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
Published in 2019 International Conference on Robotics and Automation (ICRA) (01-05-2019)“…Robust motion planning is a well-studied problem in the robotics literature, yet current algorithms struggle to operate scalably and safely in the presence of…”
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Conference Proceeding -
8
Confidence-aware motion prediction for real-time collision avoidance 1
Published in The International journal of robotics research (01-03-2020)“…One of the most difficult challenges in robot motion planning is to account for the behavior of other moving agents, such as humans. Commonly, practitioners…”
Get full text
Journal Article -
9
FaSTrack: A modular framework for fast and guaranteed safe motion planning
Published in 2017 IEEE 56th Annual Conference on Decision and Control (CDC) (01-12-2017)“…Fast and safe navigation of dynamical systems through a priori unknown cluttered environments is vital to many applications of autonomous systems. However,…”
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Conference Proceeding -
10
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning
Published in 2018 IEEE International Conference on Robotics and Automation (ICRA) (01-05-2018)“…Motion planning is an extremely well-studied problem in the robotics community, yet existing work largely falls into one of two categories: computationally…”
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Conference Proceeding -
11
A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis
Published 26-10-2023“…Control invariant sets are crucial for various methods that aim to design safe control policies for systems whose state constraints must be satisfied over an…”
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Journal Article -
12
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Published 14-10-2021“…Racing demands each vehicle to drive at its physical limits, when any safety infraction could lead to catastrophic failure. In this work, we study the problem…”
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Journal Article -
13
Robust Control Barrier-Value Functions for Safety-Critical Control
Published 06-04-2021“…This paper works towards unifying two popular approaches in the safety control community: Hamilton-Jacobi (HJ) reachability and Control Barrier Functions…”
Get full text
Journal Article -
14
FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning
Published 14-02-2021“…Fast and safe navigation of dynamical systems through a priori unknown cluttered environments is vital to many applications of autonomous systems. However,…”
Get full text
Journal Article -
15
Reachability-Based Safety Guarantees using Efficient Initializations
Published 18-03-2019“…Hamilton-Jacobi-Isaacs (HJI) reachability analysis is a powerful tool for analyzing the safety of autonomous systems. This analysis is computationally…”
Get full text
Journal Article -
16
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
Published 13-03-2021“…Real-time, guaranteed safe trajectory planning is vital for navigation in unknown environments. However, real-time navigation algorithms typically sacrifice…”
Get full text
Journal Article -
17
Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach
Published 01-08-2018“…In the pursuit of real-time motion planning, a commonly adopted practice is to compute a trajectory by running a planning algorithm on a simplified,…”
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Journal Article -
18
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
Published 14-11-2018“…Robust motion planning is a well-studied problem in the robotics literature, yet current algorithms struggle to operate scalably and safely in the presence of…”
Get full text
Journal Article -
19
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning
Published 12-10-2017“…Motion planning is an extremely well-studied problem in the robotics community, yet existing work largely falls into one of two categories: computationally…”
Get full text
Journal Article -
20
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
Published 31-05-2018“…In order to safely operate around humans, robots can employ predictive models of human motion. Unfortunately, these models cannot capture the full complexity…”
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Journal Article