AZoRobotics on MSN

New Analytical Method Makes Hybrid Soft-Rigid Robot Simulations Up to 1000× Faster

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Gradient Geothermal Signs MOU with GEOT.Ai to Power Next-Generation AI Manufacturing with Geothermal Energy in Los Angeles Basin

Gradient Geothermal ("Gradient" or "the Company"), a Denver, Colorado-based geothermal company, today announced the signing of a strategic Memorandum of Understanding (MOU) with Muir Global Holdings, ...
IEEE

Refinement of Full-Tensor Marine Gravity Gradients Using Bathymetric Data With Nonlinear Effect Consideration

Abstract: Compared with gravity anomaly, gravity gradient data exhibit more intricate high-frequency spatial information, enabling the depiction of small-scale topographic and tectonic features.
IEEE

Highly Robust Model-Based High-Resistance Connection Fault Diagnosis Using Parameter-Free Current-Gradient Prediction for PMSM Drives

Abstract: High resistance connection (HRC) is a critical electrical fault that compromises the performance and reliability of motor systems, yet its accurate detection remains challenging under model ...
GitHub

DigitalOcean Gradient™ Agent Development Kit (ADK)

The DigitalOcean Gradient™ Agent Development Kit (ADK) is a Python toolkit designed to help you build, deploy, and operate production-grade AI agents with zero infrastructure overhead. Building AI ...
GitHub

jommsy/RL-Hydraulic-Excavator

This research focuses on developing a reinforcement learning (RL)-based control method for autonomous operations of a small hydraulic excavator (SANY SY19E), which can autonomously execute a full ...