#robotic grasping
45 related articles
·2 min
Getting Started with ROS2: What Is a Robot Operating System, and How Does It Differ from ROS1?
A beginner's guide to ROS2: what ROS really is (an SDK, not a traditional OS), how ROS1 and ROS2 differ, and how to choose the right version to start robot development.
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·2 min
LeRobot 3D: Building 3D Spatial Perception and Manipulation for the SO101 Robot
LeRobot 3D is an open-source project adding 3D spatial perception to the SO101 robot, featuring multi-camera point cloud fusion, forward kinematics, ICP calibration, and browser-based visualization.
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·3 min
A $120 Robot Arm Learns to Actively Search: How Squint Breaks the Field-of-View Barrier
Squint open-source research enables a $120 SO-101 arm to search beyond its camera FOV using 16×16 pixel input, achieving 100% success in 24 min on an RTX 4060.
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·2 min
Can AI Make Fruit-Picking Robots Practical? Four Core Challenges Explained
Why can't fruit-picking robots scale up? This article breaks down the four core challenges — visual perception, motion planning, end-effectors, and cost — and how AI is helping.
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decisionrl: An Open-Source Reinforceme…
·2 min
decisionrl: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making
decisionrl is an open-source RL library for operational decisions, with built-in environments for inventory, pricing, supply chain, and OR baselines for comparison. Built on PyTorch, MIT licensed.
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Evaluating General-Purpose Robot Polic…
·2 min
Evaluating General-Purpose Robot Policies: A Scientific Framework for Real-World Deployment
How do you scientifically evaluate general-purpose robot policies for real-world deployment? This article breaks down evaluation challenges, task design, generalization testing, and the sim-to-real gap.
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Is LLM the Wrong Foundation for Robot …
·3 min
Is LLM the Wrong Foundation for Robot Intelligence? The Great Debate in Embodied AI
Robotics researcher Ranjay Krishna challenges LLMs as the foundation for robot intelligence. Is language an unnecessary layer between perception and action? A deep dive into VLA models vs. end-to-end architectures.
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·3 min
WorldBench Open-Sourced: A Standardized Evaluation Toolkit for Robot World Models
WorldBench is an open-source Python toolkit for evaluating robot world models, covering prediction fidelity, long-horizon consistency, physical plausibility, and more—enabling standardized comparisons across teams and papers.
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·4 min
A Guide to Avoiding Pitfalls in PCA Visualization of Self-Supervised Vision Models: Why the Colors Are Meaningless
Running self-supervised vision models (SSL) on a MacBook CPU isn't hard. This article reveals the core misconception of PCA visualization through ViT-S experiments: colors can't convey semantics across images, and changing resolution reverses hues entirely.
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·6 min
1X NEO Robotic Hand and GPT-5.6: A Full Breakdown of Dual Breakthroughs in Robot Hardware and Software
1X releases a new robotic hand for the NEO humanoid robot—25 DOF, force transparency, and tactile skin enabling data self-labeling. OpenAI launches the three-tier GPT-5.6, boosting coding and cost-efficiency. Hardware and AI brains evolve together, accelerating humanoid robot commercialization.
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·3 min
Does a Robot's Casing Affect Its Degrees of Freedom? The Engineering Truth Behind Bare-Metal Demos
Robot demos often use bare-metal to show off degrees of freedom, but do casings hurt performance? A deep dive into how casings affect range of motion and inertia.
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·7 min
1X Unveils NEO Robotic Hand: 25 DoF Tendon-Driven Design Ushers Dexterous Hands into the Mass-Production Era
1X unveils a new robotic hand for its NEO humanoid: 25 DoF, tendon-driven quasi-direct-drive architecture, full-joint force control, tactile skin, IP68 waterproofing, and compliant safety design, with capacity for 10,000 units a year.
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·7 min
Getting Started with AI Agents: A Deep Dive into the Perception-Decision-Action Loop
A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.
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·2 min
Beyond Voice Commands: The Future Evolution of Multimodal Human-Robot Interaction
Voice isn't the only answer for human-robot interaction. Explore how gesture recognition, eye tracking, and environmental sensing are transforming robots from command-followers to intent-understanding partners.
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·4 min
Getting Started with AI Agent Development: Core Mindset and Learning Path for Beginners
Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agents Achieve Only 20% Completion Rate — Long-Horizon Tasks Are the Fatal Weakness
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.
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·4 min
YOLO Learning Roadmap: From Version Evolution to Source Code Deep Dive
A systematic YOLO learning roadmap: from understanding V1/V3/V4 version evolution, to building knowledge via video, to mastering implementation by debugging source code.
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·7 min
The Complete Codex Guide: From Installation to Real-World Practice
Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.
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·4 min
Enterprise AI Agent Development Guide: Multi-Task Recognition and Dynamic Tool Calling in Practice
A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
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