Agility Robotics has long pursued the mission of developing robots that positively transform how people work and live — machines capable of moving, adapting, and collaborating with humans in dynamic environments. From the outset, the company recognized that this vision would require not only advanced hardware but also state-of-the-art computing platforms.
This is where its partnership with NVIDIA has played a crucial role. Agility has showcased its work alongside NVIDIA at major events, including GTC in recent years and CES 2024, where an early demonstration of using LLMs to control the humanoid robot Digit was presented. Over time, NVIDIA’s technology has enabled Agility to bring breakthrough AI and autonomy into its bipedal robots, supporting development from early prototypes to today’s deployable systems.
Shared Focus on Innovation
In creating robots like Digit, Agility Robotics faced challenges at the intersection of locomotion, perception, and intelligence. NVIDIA’s AI infrastructure and developer tools provided the foundation to train resilient models and process sensor data in real time. Digit’s onboard computing has evolved from NVIDIA RTX hardware in earlier models to the purpose-built Jetson AGX Thor robotics computer. Gaining early access to Jetson Thor highlighted the depth of the partnership and opened new opportunities to advance robotic intelligence.
By merging NVIDIA’s platforms with Agility’s design and control expertise, the company has expanded the limits of robotic capability — enabling robots to navigate complex spaces, react to unexpected changes, and operate seamlessly in human-centered environments.
Driving Scalable AI in Robotics
As robotics transitions to large-scale deployment across warehouses, factories, and eventually homes, hospitals, offices, and retail environments, NVIDIA’s technology underpins Agility’s ability to scale. NVIDIA platforms provide the computational power and flexibility to:
- Train perception and control models rapidly and with greater accuracy using scalable GPU training in the cloud.
- Execute advanced AI algorithms at the edge and directly onboard robots, where real-time responsiveness is critical.
- Utilize high-fidelity simulation, such as NVIDIA Isaac Lab, to safely develop and refine robotic behaviors before real-world deployment.
This sim-to-real capability is essential for training skills in virtual environments and then validating them in physical deployments. Such performance has made Digit not only a technological showcase but also a dependable co-worker in practical settings.
Looking Ahead
The collaboration between Agility Robotics and NVIDIA extends beyond technology — it represents a shared vision for the future of robotics. NVIDIA’s support has included an investment from NVentures, its venture capital arm, in Agility’s Series C funding round.
As Agility expands Digit deployments and explores new applications, the partnership with NVIDIA will continue to drive advancements in AI-powered robotics. Together, the two companies are paving the way for robots that are more capable, adaptive, and aligned with human needs.
Agility Robotics acknowledges the progress achieved with NVIDIA’s support and looks forward with confidence to building the next chapter of intelligent, human-centered robotics.