Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Weng, Bowen"'
Risk assessment of a robot in controlled environments, such as laboratories and proving grounds, is a common means to assess, certify, validate, verify, and characterize the robots' safety performance before, during, and even after their commercializ
Externí odkaz:
http://arxiv.org/abs/2405.20013
This work presents a hierarchical framework for bipedal locomotion that combines a Reinforcement Learning (RL)-based high-level (HL) planner policy for the online generation of task space commands with a model-based low-level (LL) controller to track
Externí odkaz:
http://arxiv.org/abs/2309.15442
This paper presents a novel framework for learning robust bipedal walking by combining a data-driven state representation with a Reinforcement Learning (RL) based locomotion policy. The framework utilizes an autoencoder to learn a low-dimensional lat
Externí odkaz:
http://arxiv.org/abs/2309.15740
Dynamic locomotion in legged robots is close to industrial collaboration, but a lack of standardized testing obstructs commercialization. The issues are not merely political, theoretical, or algorithmic but also physical, indicating limited studies a
Externí odkaz:
http://arxiv.org/abs/2308.14636
Vehicle performance metrics analyze data sets consisting of subject vehicle's interactions with other road users in a nominal driving environment and provide certain performance measures as outputs. To the best of the authors' knowledge, the vehicle
Externí odkaz:
http://arxiv.org/abs/2306.14657
Publikováno v:
IEEE Transactions on Robotics, 2023
This paper studies the class of scenario-based safety testing algorithms in the black-box safety testing configuration. For algorithms sharing the same state-action set coverage with different sampling distributions, it is commonly believed that prio
Externí odkaz:
http://arxiv.org/abs/2209.09879
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
The dynamic response of the legged robot locomotion is non-Lipschitz and can be stochastic due to environmental uncertainties. To test, validate, and characterize the safety performance of legged robots, existing solutions on observed and inferred ri
Externí odkaz:
http://arxiv.org/abs/2204.07846
Publikováno v:
In Ocean Engineering 1 October 2024 309 Part 1
The capability to follow a lead-vehicle and avoid rear-end collisions is one of the most important functionalities for human drivers and various Advanced Driver Assist Systems (ADAS). Existing safety performance justification of the car-following sys
Externí odkaz:
http://arxiv.org/abs/2202.08935
A connected and automated vehicle safety metric determines the performance of a subject vehicle (SV) by analyzing the data involving the interactions among the SV and other dynamic road users and environmental features. When the data set contains onl
Externí odkaz:
http://arxiv.org/abs/2111.07769