Mehul NariyawalaPresident & Co-founder, Matic Robots

Level 5 Robot Vision Clean Home Future

27 Jun 2025 · 1 min

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In this brief presentation, Mehul Nariyawala articulates a bold vision for a fully autonomous Level 5 indoor robot that can clean a home without any user interaction—simply by stating a desire for a clean house. He explains that the team is rebuilding the entire stack from the ground up, leveraging a deep-rooted background in computer vision rather than traditional robotics. Nariyawala highlights his co‑founder and CEO, Navneet Dalal, whose PhD work on the Histogram of Oriented Gradients (HOG) has amassed over 45,000 citations and earned the CVPR Test‑of‑Time and Hisingen awards, underscoring the team’s pedigree in foundational vision research. He also notes that the company has been developing computer‑vision‑centric products since 2005, positioning this experience as the foundation for achieving the Level 5 robot vision.

Chapters

Why do we have just a chat interface in GPT-3 or ChatGPT? Why can't we ever be able to just tell our robot that, yeah, I wanna wake up to a clean home and it just figures everything out? That is the vision. That's where we're going. And we're just reinventing everything from scratch to actually build a fully autonomous level 5 indoor robot. And we can do that because we are really not a robots guy. We are actually computer vision guy. That's our background. As I mentioned, my co-founder and CEO— His PhD, Navneet Dalal, his PhD is a classical piece of computer, classical foundation layer of the classical computer vision. It's called Histogram of Oriented Gradients. It has more than 45,000 citations. It won Test of Time Award along with Hisingen Prize at CVPR in 2015 for 10 years of impact in computer vision. That's a big computer vision show. That's a huge, the biggest one, right? And then, so we've been working on computer vision-oriented products since 2005.