Arjun Narang

What Is a Robotics Benchmark? Benchmarks are how robotics keeps itself honest, it's how we measure “good” performance. They tell us what works, what doesn’t, and how far we’ve come, objectively. Here’s what they really mean 👇 1. Standardized evaluation  A robotics benchmark is a common test used to measure how well robots perform specific tasks, like grasping, navigation, or collaboration, under the same conditions. 2. It takes into consideration the following Quantitative metrics:  > Speed: How fast can it finish the job?  > Accuracy & Repeatability: Can it do it precisely, over and over?  > Reliability: Does it keep working without failure?  > Success Rate: How often does it actually succeed? 3. Benchmarks simulate real tasks, like assembly, object grasping, or moving through dynamic spaces, to see if a robot can handle real life scenarios and not just lab demos. 4. Why benchmarks matter.  > They make performance objective, not opinion-based.  > Enable fair comparison between models and systems.  > Ensure reproducibility, the same test, same result, anywhere.  > Highlight where the field must improve, which builds innovation. At Cybernetic, we believe open, standardized evaluation is key to scaling embodied intelligence. Our platform RoboEval builds on this foundation, providing transparent, simulation-to-reality benchmarks for real robot learning. #Cybernetic #Robotics #RoboEval #Benchmarks #EmbodiedAI

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All of a sudden, hardware startups have become hot with VC funds, especially where they intersect with AI, compute infrastructure, semiconductors, robotics, and advanced manufacturing. Software developer teams seem poised to be gradually replaced by AI agentic teams as the industry shifts toward open source -> with AI agents building apps while we sleep. Just a gentle example: Kelly Claude is now building 12+ products per day. Autonomously. Welcome to the future of software building. And by the way, you can find Kelly Claude on Moltbook. For those still living in the past, Moltbook is like a “Facebook” for AI agents.

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🚀 Introducing Amity ARC Engine v3 — Powering the Next Generation of Conversational Robotics 🤖 During our recent pilots of Amity Robotics , one question keeps coming up: How did we achieve — ✅ 97% accuracy in RAG retrieval ✅ 92% accuracy under noisy environments (up to 82 dB) ⚡️ All in under 7 seconds of total response time The secret lies in the unique architecture of our newly launched ARC Engine v3 — a custom fine-tuned multimodal system that seamlessly fuses AI and hardware intelligence to deliver real-world performance at scale. Here’s how it works 👇 1️⃣ Multimodal Intake & ASR Stage – The process begins with a beam-forming microphone array integrated with the kiosk’s hardware sensors, enabling spatial sound localization and directional noise suppression. This hardware-software fusion captures a clean audio signal even in dynamic environments. The dual-model ASR system then takes over: the first lightweight model detects and eliminates deadair and non-speech segments, while the second high-precision model performs real-time speech transcription optimized for both accuracy and latency. 2️⃣ Fusion Stage – A fine-tuned multimodal model performs speech correction, validation, intent detection, and data extraction — all in a single inference. This allows the system to understand, correct, and interpret inputs simultaneously, even in noisy or overlapping speech scenarios. 3️⃣ Retrieval Stage – A built-in knowledge indexer powered by Amity Solutions’ enterprise-grade document retrieval engine delivers lightning-fast and highly relevant responses. 4️⃣ Generator & Guardrail Stage – A specialized single-model LLM simultaneously generates responses and performs policy compliance checks, ensuring both creativity and control — again, all within one inference pass. While the user experience looks simple and human-like, ARC Engine v3 is orchestrating a deeply integrated stack of real-time multimodal AI and edge hardware — purpose-built for precision, resilience, and speed. ✨ This is how Amity is redefining real-world AI interaction — from voice to knowledge to action. #AI #ConversationalAI #SpeechRecognition #RAG #MultimodalAI #EdgeAI #Innovation #AmityRobotics #AmitySolutions #TechLaunch #ARCv3 #VoiceAI #Robotics

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🦾 Daily News of Robotics and Automation in India 🦾 📰 Machina Labs raises $124M to launch large-scale intelligent U.S. factory Machina Labs designed its intelligent factory to manufacture a wide range of complex metal structures without significant retooling. The post Machina Labs raises $124M to launch large-scale intelli... Read more: https://lnkd.in/dnH9f8wD #Machina #Labs #Intelligent #Factory #Raises

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Interview with Silicon Valley’s Allen Nejah: AI, Robotics & Building the Apple of India. 🇮🇳🤖 Allen Nejah talks AI’s future, India’s tech potential, and Polymatic’s bold plans to lead the robotics revolution. Read the full story by: Brij Pahwa https://lnkd.in/dWyxhGyT Anupama Mitra #AILeadership #TechTalks #InnovationInIndia #DeepTech #StartupLeadership #FutureOfWork #Polymatic #SiliconValleyToIndia

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Preparing Students for the Future of Robotics — with Open Source Tools In today’s competitive tech landscape, giving students hands-on experience with industry-grade robotics isn’t a luxury — it’s a necessity. That’s why more schools are embracing open-source robotics platforms to help students earn the CIRP Robotics Certification. Using tools like xArm Cobot and Robot Operating System (ROS), students can: ✅ Build real-world technical and programming skills ✅ Engage with collaborative, project-based learning ✅ Graduate with a certification that opens doors in tech, automation, and engineering Open-source Solutions are not only cost-effective, but they also mirror what professionals use in advanced manufacturing and AI-powered industries. 💡Learn how your school can implement the forward-thinking solution: https://lnkd.in/dKbQX4Qg #Robotics #EdTech #STEMeducation #CIRPCertification #OpenSource #FutureSkills #CareerReadiness #CTE #EducationalLeadership

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Campuses are being asked to do more with less. That reality is reshaping campus operations everywhere — and it’s exactly why REVOBOTS built TASKBOT™ SCOUT in partnership with Campus Innovation. SCOUT gives campuses a smarter way to get work done — task-adaptive robotics, rapid customization, 3D-printed agility, imitation-learning AI, and a true zero-CapEx service model. Visit us at the Campus Innovation booth (#729) at NACAS C3X 2025 in Las Vegas this week to meet SCOUT in action. #REVOBOTS #TASKBOT #NACAS25 #CampusInnovation #XavierUniversity #FutureOfWork #CampusSafety #SmartSecurity #RaaS #SmartInfrastructure

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Big News!! We are stepping into the Tank this Friday. This Friday, I’ll be pitching RehabVeda on Shark Tank India! What started as years of work in robotics, AI, and neuroscience and countless conversations with patients, caregivers, and physiotherapists, has now reached one of India’s biggest startup platforms. RehabVeda was built with one clear mission: to make neuro-rehabilitation more accessible, affordable, and technology-driven for stroke survivors and people with motor impairments. From early prototypes… to real patient sessions… to building brain-controlled rehab systems… Every step has been about impact first, innovation second. Grateful to my team, mentors, early supporters, clinicians, and especially the patients who trusted us during our journey. Catch us this Friday! #SharkTankIndia #RehabVeda #StartupJourney #Neurotech #HealthTech #FounderLife #IndianStartups #Innovation #Rehabilitation #DeepTech

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When AI meets waste, downtime turns into megawatts. Jaipur Robotics just grabbed fresh fuel for that mission — €153K non‑dilutive from Venture Kick. The pre‑seed top‑up lifts total funding to ~€880K and keeps the runway clear through 2026 ahead of a larger Seed. Co‑founder  -  Ermes Zamboni sums it up: “Less torch, more torque for every WtE crane operator.” In a field where AMP Robotics, ZenRobotics and Waste Robotics battle for MRF lines, Jaipur owns the WtE hot‑zone — solving fire‑risk and calorific spread. Macro tailwinds: EU landfill‑ban deadlines, €120/MWh baseload prices, and a widening labour crunch on tipping floors. Add fresh ISO/TC323 circular‑economy audits and the $40B global WtE O&M market has no choice but to automate. ● €878K total capital raised ● Notable investors: Venture Kick, TiVentures SA, Techstars ● HQ: Manno, Switzerland #RoboticsFunding #WasteToEnergy #SeriesPreSeed

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Thank you Sachin Nalawade DailyCADCAM for featuring Hestus and #SketchHelper. The first thing I hear from mechanical engineers when they try Sketch Helper is: “This is exactly the workflow improvement we’ve been waiting for.” And they’re relieved we’re not building yet another #TextToCAD LLM wrapper. So why didn’t we fall into the same trap many others are falling into? Because we’ve built real products — not just demos. Kevin Chu and I have spent our careers designing and shipping real-world systems: autonomous vehicles at Cruise, rockets at SpaceRyde, and landing gears at Safran. When all you have is a hammer, every problem looks like a nail. And when all you know is API calls to an LLM, every product turns into a chatbot. At Hestus, we’ve built and shipped AI that actually solves engineering problems at scale. That’s why Sketch Helper is powered by a proprietary ML model we’ve built from the ground up, not borrowed APIs. It’s purpose-built for one thing: Mechanical Design. Our model understands design intent at the earliest stage of the design, aka sketching, and that foundation is what’s letting us expand into full 3D design automation next. The real question is, will the future of mechanical design be built on generalized LLMs with NO design intent understanding, or on specialized models that truly understand design? #CAD #MechanicalDesign #Engineering #MechanicalEngineering #ProductDesign #Manufacturing

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