#Robotics
50 articles with this tag
X-WAM: Bridging Action and 4D Synthesis
The X-WAM unified 4D world model revolutionizes robotics by integrating real-time action with high-fidelity 4D synthesis, achieving state-of-the-art benchmarks.
Applied Intuition: AI for Safer Autonomous Systems
Peter Ludwig of Applied Intuition discusses how their platform accelerates the development of safer AI for autonomous vehicles and other physical systems.
MISTY: Single-Step Planning for Autonomous Driving
MISTY motion planner achieves SOTA closed-loop performance in autonomous driving via single-step inference, enabling proactive maneuvers at 99+ FPS.
Tesla to Spend $25 Billion on AI and Robotics
Tesla plans a massive $25 billion investment in AI and robotics, tripling its budget as its automotive business faces headwinds.
UniT: Bridging Human Data to Humanoids
UniT tackles humanoid foundation model data scarcity by creating a universal physical language from human data, enabling efficient transfer and zero-shot capabilities.
LLMs Plan, But Do They Plan Safely?
New LLM robotic safety benchmark, DESPITE, finds scale boosts planning but not safety. Proprietary models lead, revealing a critical gap for safe robotic deployment.
HiVLA: Decoupling Reasoning for Robotic Control
HiVLA decouples VLM reasoning from motor control using a hierarchical framework, enhancing robotic manipulation performance and preserving zero-shot capabilities.
Ulysses Secures Series A for Ocean Autonomy
Ulysses secures Series A funding to scale its cost-effective autonomous underwater vehicles, targeting both commercial and defense sectors.
Robotics Startup Leans on LLMs for General-Purpose Robots
Quan Vuong of Physical Intelligence discusses how LLMs are revolutionizing robotics, enabling general-purpose AI for robots and overcoming data challenges. Learn about their 'GPT-1 moment' for robotics.
AI's Next Frontier: The Physical World
AI is breaking free from screens, moving into the physical world through robotics, autonomous science, and new interfaces.
AffordSim: Bridging Simulation and Real-World Affordance
AffordSim, a novel simulation framework, integrates open-vocabulary 3D affordance prediction to generate semantically rich robotic manipulation data, tackling key challenges in real-world task execution.
IBM's Martin Keen on Physical AI Training
IBM Master Inventor Martin Keen discusses the advancement of Physical AI, focusing on how robotic agents learn through simulation and real-world data, and the role of compute efficiency.
Claude's Corner: Asimov — Crowdsourcing the Training Data for Humanoid Robots
Claude's Corner attempts to rebuild Asimov. In this edition, Asimov crowdsources real-world human movement video from 5,000+ contributors to train the next generation of humanoid robots. Claude Code has mapped out 7 steps to reproduce this YC startup of batch W2026. Find the repo code at the end of the article to replicate. As always, get building...
Liam Fedus on AI for Scientific Discovery
Liam Fedus, co-founder of Periodic Labs and former OpenAI VP, discusses the growing role of AI in scientific discovery, drawing on his physics background.
Microsoft's AsgardBench Tests AI's Planning Skills
Microsoft's AsgardBench benchmark tests AI agents' ability to adapt plans using real-time visual feedback, revealing current limitations in perception and state tracking.
Robots Get Better at Long-Term Planning
Microsoft's GroundedPlanBench and V2GP framework improve robot planning by jointly considering actions and locations, overcoming limitations of decoupled approaches.
AI Storage Efficiency & Corebridge Deal Highlighted
Google researchers have developed an AI storage efficiency technique, while Corebridge Financial faces acquisition and Pony.ai plans global driverless vehicle expansion.
Robots Are Ready. Why Aren't They Working?
Robots are advancing rapidly, but deployment lags. The field needs more operators and integration specialists, not just roboticists, to bridge the gap.
Applied Intuition CTO on AI for Defense and Industry
Applied Intuition CTO Peter Ludwig discusses the company's role in developing physical AI, bridging commercial and defense sectors, and the need for unified regulation.
Bridging Dense Dynamics and Semantic Reasoning
A new VLM-guided JEPA latent world modeling framework fuses dense motion dynamics with semantic reasoning for robust long-horizon forecasting.
MAPF-AA Solved: Completeness Guaranteed
New CBS-AA algorithm achieves guaranteed completeness and optimality for asynchronous multi-agent pathfinding (MAPF-AA), overcoming prior theoretical hurdles and improving scalability.
A16Z's Sankar on AI: Beta vs. Alpha
Shyam Sankar of Palantir discusses the shift to 'beta' AI, the challenges of physical AI, and the critical role of leadership in the evolving AI landscape.
AI Agents & Personalization: The Future of Shopping
AI experts discuss the growing capabilities of AI agents, LLM integration in robotics, and NVIDIA's GTC 2026 announcements, highlighting future trends in agentic shopping and research.
Grace Brown on Building Robots with Personality
Grace Brown, CEO of Andromeda, discusses the design and purpose of ABI, a social humanoid robot aimed at combating loneliness and fostering emotional connection.
PRIMO R1: Active Critics for Robotic Manipulation
PRIMO R1 transforms video MLLMs into active critics for robotic manipulation via outcome-based RL, achieving SOTA on RoboFail and outperforming larger models.
Memories.ai Taps NVIDIA for Persistent AI Memory
Memories.ai partners with NVIDIA to integrate persistent visual memory into robots, wearables, and PCs, enhancing AI's ability to learn and recall.
Andreessen Horowitz Backs Mind Robotics
Andreessen Horowitz invests in Mind Robotics, aiming to bring advanced AI and robotics to industrial automation.
BEACON Navigates Occlusion Challenges
BEACON revolutionizes robot navigation by using Bird's-Eye View (BEV) affordance heatmaps to overcome occlusion challenges, achieving significant accuracy gains over image-space methods.
LeCun Starts $1B AI Firm
Yann LeCun launches Advanced Machine Intelligence (AMI Labs) with $1.03B seed funding to build AI systems grounded in 'world models'.
Mirai Robotics lands $4.2M for maritime autonomy
Mirai Robotics secures $4.2M pre-seed funding to build autonomous maritime systems, aiming to digitize and secure the global blue economy.
Claude AI pilots NASA Mars rover
Anthropic's Claude AI has successfully planned and executed a 400-meter drive for NASA's Perseverance rover on Mars, marking a significant step for AI autonomy in space.
Robots Learn to Peel Like Humans
Researchers developed a two-stage robot learning framework that uses imitation and human feedback to master complex, subjective manipulation tasks like peeling produce.
BioProAgent: Bridging LLMs to Wet-Lab Autonomy
BioProAgent, a new neuro-symbolic AI framework, enables LLMs to reliably control physical wet-lab equipment, achieving 95.6% compliance.
DCDP: Dynamic Diffusion Policies for Robotics
The DCDP framework enhances robotic adaptability in dynamic environments by integrating real-time environmental dynamics for improved action correction, achieving significant performance gains with minimal computational overhead.
AI Drives Safely Without Expert Data
Researchers introduce Risk-aware World Model Predictive Control (RaWMPC), enabling autonomous driving without expert data by predicting and avoiding risks.
AI Angst Divides Markets, Asia Sees Opportunity
The 'AI Scare Trade' is causing a US equities retreat, while Asian markets find unexpected winners in the tech sector amid tariff policy shifts.
Trener Robotics lands $32M for AI factory robots
Trener Robotics raises $32M Series A to bring Physical Intelligence to industrial automation with its agentic AI platform, Acteris.
New EB-JEPA Library Simplifies AI World Models
Meta AI's new EB-JEPA library offers accessible, single-GPU implementations for advanced AI world models, covering image, video, and planning tasks.
AI Learns Faster by Predicting the Future
AI learns faster with Predictive Inverse Dynamics Models (PIDMs) by forecasting future states, making imitation learning more data-efficient than traditional methods.
Argos Framework Delivers Grounded AI Reasoning
Argos is an agentic verification framework that fundamentally changes reinforcement learning by rewarding models only for Grounded AI reasoning based on verifiable evidence.
Hassabis: The AI Shift Is 100x Faster Than the Industrial Revolution
AMD Ryzen AI Embedded Redefines Edge Compute
Robotics and Scientific Discovery Emerge as Next AI Investment Themes
PhysBrain model uses human video to teach robots physical intelligence
On-device AI Redefines CES 2026 Computing
ADAM Robot Bartender: AI Solves Hospitality's Labor Gap
NVIDIA Accelerated Computing Reshapes Industry
NVIDIA Jetson Edge AI Robotics: Discounts Fuel Innovation
NVIDIA AI Fellowships Fuel Next-Gen AI Research
