Results 161 to 170 of about 96,008 (322)

Real time fire and smoke detection using vision transformers and spatiotemporal learning. [PDF]

open access: yesSci Rep
Lilhore UK   +8 more
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Multidirectional Motion Strategy of Miniature Water Surface Robot Actuated by Single Exciter

open access: yesAdvanced Robotics Research, EarlyView.
A novel multidirectional motion strategy on the water surface based on a single exciter is proposed, and a single‐exciter single‐plate module is developed for actuation. The driving forces generation mechanism of the module is revealed from the perspective of the asymmetric surface wave field.
Haoxuan He   +4 more
wiley   +1 more source

3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks

open access: green
Quang, Nguyen Duc Minh   +5 more
openalex   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

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