Results 191 to 200 of about 4,122 (255)
Eye Movement Patterns Under Exposure to Spatial Disorientation Illusions During Simulated Flight. [PDF]
Harel M +4 more
europepmc +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
A Variational Bayesian Approach for Multimodal Multi-instance Classification. [PDF]
Hu Y, Cheng Y, Xia Y, Wang X.
europepmc +1 more source
Observations of the Lithium Content of Stars in Visual Binary Systems
openaire +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data. [PDF]
Warchol S +7 more
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
Evidence for a polar circumbinary exoplanet orbiting a pair of eclipsing brown dwarfs. [PDF]
Baycroft TA +3 more
europepmc +1 more source
A new orbit for the visual binary star sigma 2
openaire +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source

