Results 161 to 170 of about 1,588,154 (302)

Quantitative Genetics and Genomics Converge to Accelerate Forest Tree Breeding. [PDF]

open access: yesFront Plant Sci, 2018
Grattapaglia D   +8 more
europepmc   +1 more source

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ   +7 more
wiley   +1 more source

Forest tree breeding using genomic Markov causal models: a new approach to genomic tree breeding improvement. [PDF]

open access: yesHeredity (Edinb)
Jurcic EJ   +6 more
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced 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

Strategic global data integration to improve genomic prediction accuracy in tree breeding programs facing resource limitations, a case study in mango. [PDF]

open access: yesHortic Res
Jighly A   +12 more
europepmc   +1 more source

Genomic Selection in Rubber Tree Breeding: A Comparison of Models and Methods for Managing G×E Interactions. [PDF]

open access: yesFront Plant Sci, 2019
Souza LM   +6 more
europepmc   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
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

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