Results 51 to 60 of about 6,876 (292)

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

open access: yesAdvanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui   +5 more
wiley   +1 more source

SURFACE CLUTTER REDUCTION FOR SFCW GROUND PENETRATING RADAR [PDF]

open access: yes, 2020
Ground Penetrating Radar (GPR) utilizes electromagnetic waves to be transmitted to the ground and have a non-destructive technique. In the detection process, electromagnetic waves touch the surface clutter and then it will continue to underground to ...
QUEEN HESTI RAMADHAMY
core  

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

open access: yesAdvanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska   +2 more
wiley   +1 more source

Modeling of GPR Clutter Caused by Soil Heterogeneity

open access: yesInternational Journal of Antennas and Propagation, 2012
In small-scale measurements, ground-penetrating radar (GPR) often uses a higher frequency to detect a small object or structural changes in the ground.
Kazunori Takahashi   +2 more
doaj   +1 more source

A Range-ambiguous Clutter Suppression Method for MIMO Bistatic Airborne Radar

open access: yesLeida xuebao, 2018
The ground clutter of sidelooking Multiple-Input Multiple-Output (MIMO) bistatic radar has severe problems of range-dependence and clutter spectrum spreading.
Wang Yuzhuo, Zhu Shengqi, Xu Jingwei
doaj   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

open access: yesAdvanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

Analysis of the behaviour of ground clutter on behalf of clutter suppression with solidar [PDF]

open access: yes, 1991
Interest in clutter is almost universal in radar research, because most of the radar echo signals received by radar do not originate only from the desired target, but also from surrounding objects or surfaces which tend to mask the target signal.
Laban, G.I. (author)
core  

Non-Precipitation Echo Identification in X-Band Dual-Polarization Weather Radar

open access: yesRemote Sensing
This study proposes a novel quality control method combining fuzzy logic and threshold discrimination for processing X-band dual-polarization radar data from Beijing.
Zihang Zhao   +5 more
doaj   +1 more source

Mosaicking Cluttered Ground Planes Based on Stereo Vision [PDF]

open access: yes, 2007
Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In this paper we propose a 2D Iterated Closest Point (ICP) registration method, based on the distance transform, combined with a fine-tuning-registration step using directly the ...
José António Gaspar   +3 more
openaire   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

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