Provably safe robot navigation with obstacle uncertainty
نویسندگان
چکیده
منابع مشابه
Provably Safe Robot Navigation with Obstacle Uncertainty
As drones and autonomous cars become more widespread it is becoming increasingly important that robots can operate safely under realistic conditions. The noisy information fed into real systems means that robots must use estimates of the environment to plan navigation. Efficiently guaranteeing that the resulting motion plans are safe under these circumstances has proved difficult. We examine ho...
متن کاملOn Provably Safe Obstacle Avoidance for Autonomous Robotic Ground Vehicles
Nowadays, robots interact more frequently with a dynamic environment outside limited manufacturing sites and in close proximity with humans. Thus, safety of motion and obstacle avoidance are vital safety features of such robots. We formally study two safety properties of avoiding both stationary and moving obstacles: (i) passive safety, which ensures that no collisions can happen while the robo...
متن کاملCoastal Navigation – Robot Motion with Uncertainty
Ships often use the coasts of continents for navigation in the absence of better tools such as GPS, since being close to the land allows sailors to determine with high accuracy where they are. Similarly for mobile robots, in many environments global and accurate localization is not always feasible. Environments can lack features, and dynamic obstacles such as people can confuse and block sensor...
متن کاملCoastal Navigation: Mobile Robot Navigation with Uncertainty in Dynamic Environments
Ships often use the coasts of continents for navigation in the absence of better tools such as GPS, since being close to land allows sailors to determine with high accuracy where they are. Similarly for mobile robots, in many environments global and accurate localization is not always feasible. Environments can lack features, and dynamic obstacles such as people can confuse and block sensors. I...
متن کاملMulti-Sensor Obstacle Tracking for Safe Human-Robot Interaction
For human-robot interaction in industrial applications, monitoring the robot surroundings is essential in order to guarantee the safety of humans sharing the workspace with robots. This contribution presents an approach for obstacle detection and tracking based on the fusion of multiple heterogeneous depth sensors which are mounted on board a mobile manipulator. The proposed methods can track a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Journal of Robotics Research
سال: 2018
ISSN: 0278-3649,1741-3176
DOI: 10.1177/0278364918778338