Robotics

SimLingo: Vision-Language-Action Model for Autonomous Driving

SimLingo is a remarkable model that combines autonomous driving, language understanding, and instruction-aware control—all in one unified, camera-only framework. It not only delivered top rankings on CARLA Leaderboard 2.0 and

Advanced Driver Assistance Systems, Autonomous Vehicle, Computer Vision, Robotics, VLMs

V-JEPA 2: Meta’s Breakthrough in AI for the Physical World

The ultimate goal for many in artificial intelligence is to build agents that can perceive, reason, and act in our complex physical world. Meta AI has made a significant stride

Computer Vision, Generative AI, Generative Models, Hugging Face Transformers, Multimodal Models, Robotics, Vision Language Models

GR00T N1.5 Explained: NVIDIA’s VLA Model for Humanoids

Dive into NVIDIA's GR00T N1.5, a groundbreaking open foundation model poised to revolutionize humanoid robotics! Discover how this advanced Vision-Language-Action (VLA) model, with its smarter architecture and innovative training using

Robotics, Vision Language Models, Vision Transformer

SmolVLA: Affordable & Efficient VLA Robotics on Consumer GPUs

Imagine you’re a robotics enthusiast, a student, or even a seasoned developer, and you’ve been captivated by the idea of robots that can see, understand our language, and then act on that

Robotics, Vision Language Models, Vision Transformer

MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

MASt3R-SLAM is a truly plug and play monocular dense SLAM pipeline that operates in-the-wild. It is first of its kind real-time SLAM system that leverages MASt3R’s 3D Reconstruction priors to

3D Computer Vision, 3D Reconstruction, Robotics, SLAM

Vision Language Action Models (VLA) Overview: LeRobot Policies Demo

The advent of Generative AI, has fundamentally transformed robotic intelligence, enabling significant strides in how advanced humanoid robots “perceive, reason and act” in the physical world. This huge progress is

Generative AI, Robotics, Vision Language Models

Object Insertion in Gaussian Splatting: Paper Explanation and Training of MCMC in Gsplat

3D Gaussian splatting (3DGS) has recently gained recognition as a groundbreaking approach in radiance fields and computer graphics. It stands out as a jack of all trades, addressing challenges that

3D Computer Graphics, 3D Computer Vision, 3D Reconstruction, Computer Vision, Robotics, SLAM

3D Gaussian Splatting Introduction – Paper Explanation & Training on Custom Datasets with NeRF Studio Gsplats

3D Gaussian Splatting (3DGS) is redefining the landscape of 3D computer graphics and vision — but here’s a catch: it achieves groundbreaking results without relying on any neural networks, not

3D Computer Graphics, 3D Computer Vision, 3D Reconstruction, Robotics, SLAM

The Annotated NeRF – Training on Custom Dataset from Scratch in Pytorch

In recent years, the field of 3D from multi-view has become one of the most popular topics in computer vision conferences, with a high number of submitted papers each year.

3D Computer Graphics, 3D Computer Vision, 3D Reconstruction, Deep Learning, PyTorch, Robotics, SLAM

Building Autonomous Vehicle in Carla: Path Following with PID Control & ROS 2

Robotics, once a specialized and niche field, has surged into the mainstream with the rapid development of autonomous vehicles, quadruped robots, and humanoids. What’s fueling this revolution? The drive to

Autonomous Vehicle, Robotics

Introduction to LiDAR SLAM: LOAM and LeGO-LOAM Paper and Code Explanation with ROS 2 Implementation

LiDAR SLAM is a crucial component in robotics perception, widely used in both industry and academia for its efficiency and robustness in localization and mapping. In robotics perception research, LiDAR

3D Computer Vision, Robotics, ROS, SLAM

Introduction to ROS 2 (Robot Operating System 2): Tutorial on ROS 2 Working, DDS, ROS 1 RMW, Topics, Nodes, Publisher, Subscriber in Python

ROS (Robot Operating System) is more than a decade old open-source robotics middleware software, initially developed by two PhD students from Stanford University. Fast-forward to 2024, ROS has evolved into

Robotics, ROS, SLAM