HzcIrving/IrvingHeRoboticsRepo
RoboticsRepoForMyself (⭐ 8)
Decoupling feature extraction from policy learning: assessing benefits of state representa…
Scaling end-to-end reinforcement learning to control real robots from vision presents a series of challenges, in particular in terms of sample efficiency. Against end-to-end learning, state representation learning can help learn a compact, efficient...
Motion Control on Bionic Eyes: A Comprehensive Review
Biology can provide biomimetic components and new control principles for robotics. Developing a robot system equipped with bionic eyes is a difficult but exciting task. Researchers have been studying the control mechanisms of bionic eyes for many yea...
An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges
Vision-Language-Action (VLA) models are driving a revolution in robotics, enabling machines to understand instructions and interact with the physical world. This field is exploding with new models and datasets, making it both exciting and challenging...
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
Reinforcement learning (RL) has been shown to learn sophisticated control policies for complex tasks including games, robotics, heating and cooling systems and text generation. The action-perception cycle in RL, however, generally assumes that a meas...
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
We present Isaac Lab, the natural successor to Isaac Gym, which extends the paradigm of GPU-native robotics simulation into the era of large-scale multi-modal learning. Isaac Lab combines high-fidelity GPU parallel physics, photorealistic rendering,...
How Boston Dynamics Taught Its Robots to Dance
Points: 368 | Comments: 200 | Author: samizdis
the-blue-alliance/the-blue-alliance
A webapp for accessing information about the FIRST Robotics Competition. (⭐ 432)
Rubik Tables and Object Rearrangement
A great number of robotics applications demand the rearrangement of many mobile objects, e.g., organizing products on shelves, shuffling containers at shipping ports, reconfiguring fleets of mobile robots, and so on. To boost the throughput in system...
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Recent studies have presented compelling evidence that large language models (LLMs) can equip embodied agents with the self-driven capability to interact with the world, which marks an initial step toward versatile robotics. However, these efforts te...
CarSpeedNet: Learning-Based Speed Estimation from Accelerometer-Only Inertial Sensing
Velocity estimation is a core component of state estimation and sensor fusion pipelines in mobile robotics and autonomous ground systems, directly affecting navigation accuracy, control stability, and operational safety. In conventional systems, velo...
Multimodal Shape Completion via IMLE
Shape completion is the problem of completing partial input shapes such as partial scans. This problem finds important applications in computer vision and robotics due to issues such as occlusion or sparsity in real-world data. However, most of the e...
Novel Convolution Kernels for Computer Vision and Shape Analysis based on Electromagnetism
Computer vision is a growing field with a lot of new applications in automation and robotics, since it allows the analysis of images and shapes for the generation of numerical or analytical information. One of the most used method of information extr...
RCDN -- Robust X-Corner Detection Algorithm based on Advanced CNN Model
Accurate detection and localization of X-corner on both planar and non-planar patterns is a core step in robotics and machine vision. However, previous works could not make a good balance between accuracy and robustness, which are both crucial criter...
India–Israel relations - Wikipedia
joint production of defence technology such as drones, robotics, artificial intelligence, quantum technology and other areas. Production will be jointly
Evaluating Gemini Robotics Policies in a Veo World Simulator
Generative world models hold significant potential for simulating interactions with visuomotor policies in varied environments. Frontier video models can enable generation of realistic observations and environment interactions in a scalable and gener...
Gemini Robotics: Bringing AI into the Physical World
Recent advancements in large multimodal models have led to the emergence of remarkable generalist capabilities in digital domains, yet their translation to physical agents such as robots remains a significant challenge. This report introduces a new f...
Nancy (comic strip) - Wikipedia
to current trends and technologies, such as smartphones, social media, ear buds, and a robotics club. In May 2024 Jaimes announced that she would take
Simulating Real-time Tyre Contact Patch Dynamics via Nanopiezoelectric Sensor Arrays. Adap…
Hi everyone, I am a Robotics & Control Systems Engineer. I recently reached out to the moderation team about sharing a simulation tool I built, and they encouraged me to provide a detailed breakd...
nasa-jpl/rosa
ROSA ? is an AI Agent designed to interact with ROS1- and ROS2-based robotics systems using natural language queries. ROSA helps robot developers inspect, diagnose, understand, and operate robots. (⭐ 1427)