# Eka Robotics - **Website:** - **Primary alias:** `ekarobotics.com` ## Description Eka Robotics is a robotics company focused on bringing advanced intelligence into the physical world. Its work centers on a Vision-Force-Action (VFA) model, designed to help robots interpret their surroundings, respond through physical interaction, and perform tasks across different objects, environments, and situations. Eka presents this approach as a way to combine generality, performance, and safety, addressing the traditional trade-off between versatile robots and high-performing ones. The company describes its technology as understanding the physical world through force, with an emphasis on adapting to unexpected conditions and collaborating safely with people. Its stated goals include building robots that can handle unfamiliar tasks and environments, operate quickly and reliably, and work alongside humans in a range of settings. Eka says it is deploying intelligence into the physical world and developing systems intended to scale in real-world use. The team has experience in self-supervised learning, large-scale robot learning, world models, reinforcement learning, and sim-to-real robotics, with backgrounds at academic institutions and technology and robotics organizations. ## Industries - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ ## Links - [twitter](https://twitter.com/EkaRobotics) - [linkedin](https://linkedin.com/company/eka-robotics) ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idhd5qMk7X/w/360/h/360/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790643964038) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idhd5qMk7X/w/399/h/399/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1790643964129) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Black | #000000 | dark | | Mischka | #d0cfd7 | light | | Dodger Blue | #5b87ff | accent | ## Fonts - var(--font-family) — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._