Which problems to solve?
Humanoid robotics developers must pick which problems to solve, says NVIDIA
2026 Humanoid Robot Market Report
160 pages of exclusive insight from global robotics experts – uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.
Featuring insights from
Aaron Saunders, Former CTO of
Boston Dynamics,
now Google DeepMind
2026 Humanoid Robot Market Report
160 pages of exclusive insight from global robotics experts – uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.
To be effective and commercially viable, humanoid robots will need a full stack of technologies for everything from locomotion and perception to manipulation. Developers of artificial intelligence and humanoids are using NVIDIA tools, from the edge to the cloud.
At NVIDIA’s GPU Technology Conference (GTC) in March, CEO Jensen Huang appeared on stage with several humanoids in development using the company’s technology. For instance, Figure AI last month unveiled its Figure 02 robot, which used NVIDIA graphics processing units (GPUs) and Omniverse to autonomously conduct tasks in a trial at BMW.
“Developing autonomous humanoid robots requires the fusion of three computers: NVIDIA DGX for AI training, NVIDIA Omniverse for simulation, and NVIDIA Jetson in the robot,” explained Deepu Talla, vice president of robotics and edge computing at NVIDIA, which will be participating in RoboBusiness 2024. Talla shared his perspective on the race to build humanoids and how developers can benefit from NVIDIA’s offerings with The Robot Report.
Demand and AI create inflection points for humanoid robots
What do you think of the potential for humanoids, and why have they captured so much attention?
Source: https://www.therobotreport.com/humanoid-robotics-developers-must-pick-which-problems-solve-says-nvidia/
