
rpx
130 posts

rpx
@Robosynx_AI
OSS robotics software engineer | Building AI tools that make Isaac Lab & MuJoCo training fast | Focused on training pipelines & infrastructure









Grok Voice Think Fast 1.0 ranks #1 on the Artificial Analysis τ-Voice benchmark for real-world agentic customer service resolution Absolutely outperforming GPT-Realtime-2 (High) and Gemini 3.1 Flash by a huge margin That's a massive 12%+ lead over OpenAI's best model that just released a few days ago Grok is running real-time background reasoning without the latency penalty, which is why it is already handling live Starlink phone operations autonomously at scale

Most robotics engineers spend more time fixing infrastructure than actually building robots. That sounded broken to us. So we started building RoboProtX. ⚡ Today we’re excited to officially share RoboProtX - full-stack robotics infrastructure platform by Robosynx.com A platform built for robotics engineers who are tired of: ❌ endless SSH sessions ❌ scattered training logs ❌ broken simulations ❌ manually debugging reinforcement learning pipelines ❌ juggling Isaac Sim, MuJoCo, Gazebo & ROS2 separately So we built ONE unified command center. 🔥 RoboProtX Features: • Live robotics training monitoring • Real-time GPU telemetry & cluster insights • Isaac Sim + Isaac Lab integration • MuJoCo & Gazebo support • AI-powered training advisor • Domain randomization workflows • ONNX / TorchScript model export • Training launch orchestration • Reward tracking + run history • Simulation observability dashboard • End-to-end sim-to-real workflow support The goal? Make robotics development feel like modern software engineering. And honestly… this is just the beginning. We’re also super happy to share that we recently secured our first $20,000 in initial funding from friends & family ❤️ No VCs. No accelerator. Just belief from people around us who saw the vision early. That funding is now going directly into: ⚡ infrastructure ⚡ compute ⚡ scaling the platform ⚡ building faster robotics tooling for developers worldwide If you’re building robots, RL systems, autonomous agents, or simulation tooling — we’d genuinely love your feedback. The next decade belongs to robotics. And we’re building for it. 🚀 Join the waitlist - robosynx.com/products/robop…


Most robotics engineers spend more time fixing infrastructure than actually building robots. That sounded broken to us. So we started building RoboProtX. ⚡ Today we’re excited to officially share RoboProtX - full-stack robotics infrastructure platform by Robosynx.com A platform built for robotics engineers who are tired of: ❌ endless SSH sessions ❌ scattered training logs ❌ broken simulations ❌ manually debugging reinforcement learning pipelines ❌ juggling Isaac Sim, MuJoCo, Gazebo & ROS2 separately So we built ONE unified command center. 🔥 RoboProtX Features: • Live robotics training monitoring • Real-time GPU telemetry & cluster insights • Isaac Sim + Isaac Lab integration • MuJoCo & Gazebo support • AI-powered training advisor • Domain randomization workflows • ONNX / TorchScript model export • Training launch orchestration • Reward tracking + run history • Simulation observability dashboard • End-to-end sim-to-real workflow support The goal? Make robotics development feel like modern software engineering. And honestly… this is just the beginning. We’re also super happy to share that we recently secured our first $20,000 in initial funding from friends & family ❤️ No VCs. No accelerator. Just belief from people around us who saw the vision early. That funding is now going directly into: ⚡ infrastructure ⚡ compute ⚡ scaling the platform ⚡ building faster robotics tooling for developers worldwide If you’re building robots, RL systems, autonomous agents, or simulation tooling — we’d genuinely love your feedback. The next decade belongs to robotics. And we’re building for it. 🚀 Join the waitlist - robosynx.com/products/robop…






in software, you write code in one language and it runs. in robotics, you define geometry in CAD, retarget to URDF, simulate in MJCF, hand-type coordinates in YAML, and pray the trained policy survives the gap. five formats. one simple secne. the bottleneck isn't AI. it's translation.









