Event
Eka Robotics Completes $150 Million Series A Funding
3 reports · 3 sources
Eka Robotics announced the completion of a $150 million Series A funding round, led by Andreessen Horowitz (a16z) and F-Prime. The company said the funds will be used to scale up its models and accelerate customer deployment. Founded in 2024, Eka is building a Vision-Force-Action (VFA) model that uses large-scale reinforcement learning to give robots an intuition for physics, and it employs simulation learning. The company said its VFA model is showing that the traditional simulation-to-reality (sim-to-real) barrier is weakening; this effect is currently only the company's claim. According to a cited post, the company argues that force is the language of manipulation and that reinforcement learning is the path to scaling dexterous manipulation, while fast and reliable physical execution remains an unresolved bottleneck.
Report timeline
- Weekly Robotics #382: Open-source FPGA robot arm controller, quadruped solving Rubik's Cube, and Eka Robotics' $150 million Series A
Excessive Overkill reverse-engineered an open-source FPGA controller for a 3,000-pound robot arm. ETH Robotic Systems Lab taught a quadruped to solve a giant Rubik's Cube, building toward state-of-the-art perception and localization, fine pedipulation, and environmental interaction capabilities. Eka Robotics closed a $150 million Series A to expand its vision-force-action (VFA) model and customer deployments, saying its robots can complete about 1,500 operations per hour.
Weekly Robotics ·
- Eka Robotics closes $150M Series A to scale vision-force-action model
Eka Robotics announced this week that it has closed a $150M Series A round led by Andreessen Horowitz (a16z) and F-Prime, with the funds to be used to scale its technology and customer deployments.
The Robot Report ·
- Eka Robotics completes $150 million Series A funding
Eka Robotics has completed a $150 million Series A funding round. Pieter Abbeel reposted the news and congratulated the team. The quoted post states that the company pursues both manipulation performance and generality with its Vision-Force-Action (VFA) model, arguing that force is the language of manipulation, reinforcement learning is the path to scaling dexterous manipulation, and fast, reliable physical execution is the bottleneck to be solved; it also plans to use the funding to scale up its models and accelerate customer deployment.
Pieter Abbeel ·