Self-supervised visual terrain classification from unsupervised acoustic feature learning
Mobile robots operating in unknown urban environments encounter a wide range of
complex terrains to which they must adapt their planned trajectory for safe and efficient …
complex terrains to which they must adapt their planned trajectory for safe and efficient …
Learning visual locomotion with cross-modal supervision
In this work, we show how to learn a visual walking policy that only uses a monocular RGB
camera and proprioception. Since simulating RGB is hard, we necessarily have to learn …
camera and proprioception. Since simulating RGB is hard, we necessarily have to learn …
[HTML][HTML] Self-supervised prediction of the intention to interact with a service robot
A service robot can provide a smoother interaction experience if it has the ability to
proactively detect whether a nearby user intends to interact, in order to adapt its behavior eg …
proactively detect whether a nearby user intends to interact, in order to adapt its behavior eg …
Active sensing for search and tracking: A review
Active Position Estimation (APE) is the task of localizing one or more targets using one or
more sensing platforms. APE is a key task for search and rescue missions, wildlife …
more sensing platforms. APE is a key task for search and rescue missions, wildlife …
[HTML][HTML] Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
AH Abbas, H Abdel-Ghani, IS Maksymov - Dynamics, 2024 - mdpi.com
Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-
driving cars may consume up to 50% of the total power available onboard, thereby limiting …
driving cars may consume up to 50% of the total power available onboard, thereby limiting …
Self-supervised traversability prediction by learning to reconstruct safe terrain
Navigating off-road with a fast autonomous vehicle depends on a robust perception system
that differentiates traversable from non-traversable terrain. Typically, this depends on a …
that differentiates traversable from non-traversable terrain. Typically, this depends on a …
Innate motivation for robot swarms by minimizing surprise: From simple simulations to real-world experiments
Applications of large-scale mobile multirobot systems can be beneficial over monolithic
robots because of higher potential for robustness and scalability. Developing controllers for …
robots because of higher potential for robustness and scalability. Developing controllers for …
Self-supervised learning of lidar segmentation for autonomous indoor navigation
We present a self-supervised learning approach for the semantic segmentation of lidar
frames. Our method is used to train a deep point cloud segmentation architecture without …
frames. Our method is used to train a deep point cloud segmentation architecture without …
Tapered whisker reservoir computing for real-time terrain identification-based navigation
This paper proposes a new method for real-time terrain recognition-based navigation for
mobile robots. Mobile robots performing tasks in unstructured environments need to adapt …
mobile robots. Mobile robots performing tasks in unstructured environments need to adapt …
Global and reactive motion generation with geometric fabric command sequences
Motion generation seeks to produce safe and feasible robot motion from start to goal.
Various tools at different levels of granularity have been developed. On one extreme …
Various tools at different levels of granularity have been developed. On one extreme …