- Research Article
- 10.1016/j.rcim.2026.103279
An ensemble reinforcement learning framework for robotic high-precision peg-in-hole assembly via human demonstrations
- Aug 01, 2026
- Robotics and Computer-Integrated Manufacturing
- Guanwen Ding + 5 more +5
Publications from 2021 to 2026
Showing 10 of 964 papers
An ensemble reinforcement learning framework for robotic high-precision peg-in-hole assembly via human demonstrations
Interpretable dual-layer state space net for capturing fine-grained temporal features in EEG-based motor imagery BCIs
RC beams strengthened with hybridization by CFRP and ECC under extreme temperature difference environments in cold regions
ANKRD9 negatively regulates chicken myogenesis through ubiquitin-mediated regulation of IMPDH2.
Weighted multi-output randomized neural networks with a feature memory pool for electroencephalogram signal classification
Coupled mechanisms of load transfer and fracture in bonded granular materials using CT image-based discrete element method
Advanced gelation modification techniques of synergistic high-pressure homogenization/magnetic field-MTGase system for additive-free yogurt.
Flame inclination instability under lateral fuel mass fraction differences: An experimental study in anthracite/alumina hybrid filtration combustion
A Three-Year Multimodal Holistic Dataset For Horticultural Tomato Cultivation
Existing tomato datasets often focus on short-term experiments or lack integrated environmental and agronomic data. We present Horti-M3-Tomato, a comprehensive three-year dataset collected in Northeast China’s greenhouse, including high-resolution RGB images, environmental sensor data (recorded every 30 minutes), soil conditions, and detailed agronomic records such as yield data and management practices. Spanning three growing seasons (2023–2025), the dataset integrates temporal imaging, environmental monitoring, soil data, and manual phenotypic and yield records. Horti-M3-Tomato supports research on growth dynamics, genotype-environment interactions, and provides a benchmark for AI-based phenotyping and precision horticulture. The dataset is openly available for further research in controlled-environment agriculture.
Read moreStudy on the interface properties of timber structures enhanced by flax fiber reinforced polymer