Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
TARA 2.0 for Connected and Automated Vehicles
Connected Automated Vehicles (CAVs) represent a transformative shift in transportation, offering enhanced safety, and efficiency. However, achieving full automation at levels four and five of the Society of Automotive Engineering (SAE) scale poses ...
Benyahya, Meriem +3 more
core +1 more source
A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine
Advanced Robotics Research, EarlyView.This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff +4 more
wiley +1 more source
Automotive Telemetry in Connected Vehicles: A Review of 5G and Satellite Communication Technologies for Long-Range Data Transmission. [PDF]
Sensors (Basel)Fekiač JJ +6 more
europepmc +1 more source
Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles. [PDF]
Comput Intell Neurosci, 2020 Du L +6 more
europepmc +1 more source
, 2014 Updated irregularly; Began in 2002?; Title from home page (publisher's Web site, viewed Jan. 31, 2011).; At head of title: State of Connecticut.; Harvested from the web on 2/3/14Official website of the Connecticut Department of Motor Vehicles.
core
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Defending Against State-Inducing Spoofing Attacks in Intelligent Connected Vehicles: A Real-Time Temporal Feature Fusion Framework. [PDF]
Sensors (Basel)Dong C, Wu H, Li C.
europepmc +1 more source
A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles. [PDF]
Entropy (Basel), 2020 Yu KS, Kim SH, Lim DW, Kim YS.
europepmc +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source