Dynamic Graph Neural Network for Vehicle Trajectory Prediction and Driving Intent Recognition. [PDF]
Wu S, Wang Y, Gong Y.
europepmc +1 more source
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
Membrane-initiated estrogen receptor-α signaling in the hypothalamus regulates trabecular bone in femur in female mice. [PDF]
Jiang Y +8 more
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
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
Map-free vehicle trajectory prediction method based on heterogeneous graphs and dynamic scene constraints. [PDF]
Liu H, Bao Y, Hou Y, Wang H, Shi Q.
europepmc +1 more source
A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine
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
Influence of wind barrier configuration on driving space over bridge decks: A PIV-based parametric study. [PDF]
Xia D, Shi S, Liu Z, Lin X, Lin L.
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Vehicle Detection in Drone Aerial Views Based on Lightweight YOLOv10-IAD. [PDF]
Zhang L, Li Z, Yao Y.
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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

