Key on-screen metrics reported during and after the stream included:

• Up to 310 units per hour (UPH) throughput per robot station
• 18–20 second cycle time per unit
• 99%+ success rate on inspection and sorting tasks
• Line integration in 36 hours
• ~3,000 units processed per shift per robot station

Agibot's central claim was that these robots were operating in a real, active mass-production factory — not a staged lab environment — making the livestream a direct rebuttal to Figure AI's earlier controlled-lab broadcast .

Agibot G2 vs. Figure AI: Head-to-Head Comparison

The two companies represent fundamentally different design philosophies for humanoid robots. Agibot's G2 is a purpose-built industrial wheeled robot optimized for factory throughput, while Figure AI's Figure 03 is a more general-purpose bipedal walking platform designed for eventual home use .

Key difference: Agibot stressed that its livestream came from a real high-volume manufacturing line already in production, while Figure AI's demonstrations — though technically impressive with bipedal locomotion and the Helix AI model — were conducted in lab or pilot settings . Figure AI's Figure 03 is a bipedal platform with home-use ambitions, whereas the G2 is a wheeled industrial robot optimized for factory throughput .

Technical Specifications of the Agibot G2

The G2 is built for industrial-grade precision and continuous operation .

The G2 uses 7-DoF force-controlled arms with integrated force-torque sensing, allowing it to handle delicate electronics components without damage . It is designed for automotive-grade industrial standards and intended for 24/7 continuous factory operation .

Production Metrics and Scale

Agibot's manufacturing ramp has been aggressive:

• 5,000 units rolled off the Shanghai production line by December 2025
• 10,000 units produced by March 2026 — doubling output in three months
• Agibot declared 2026 as "Deployment Year One", shifting from R&D demos to large-scale commercial rollout
• The company introduced an L1–L5 autonomy framework, claiming current systems at Level 3 (conditional automation in constrained environments)
• Agibot stated a target of 10,000 humanoid shipments for 2026, backed by aggressive data-collection expansion to improve real-world performance
• The Longcheer deployment was called the "world's first embodied AI deployment" in a live consumer electronics mass-production line

Broader Strategic Ambitions

"Deployment Year One" (2026): Agibot's leadership explicitly framed 2026 as the year the company moves from lab demonstrations to large-scale commercial deployment of embodied AI across multiple manufacturing verticals . The Longcheer tablet line is the flagship reference case.

Industry vertical expansion: Prior to the tablet factory deployment, Agibot demonstrated G2 in auto parts production (seatbelt lock cylinder assembly, material handling) and precision task workflows . The company aims to penetrate automotive, consumer electronics, and general manufacturing sectors.

L1–L5 autonomy roadmap: Agibot publicly defined a capability ladder with Level 3 as current state (conditional automation in bounded factory zones), targeting higher levels for less constrained environments .

Data at scale thesis: Agibot has emphasized that high-quality real-world operational data — not just hardware — is the core competitive moat, and is aggressively scaling data collection from deployed production units to feed its AI training pipeline .

Production capability as a differentiator: Having already surpassed 10,000 units produced, Agibot claims a massive manufacturing volume advantage over most competitors, which it argues enables faster iteration cycles and lower per-unit costs .

Global PR battle with Figure AI: The June livestream was explicitly timed and framed as a response to Figure AI's lab-based demos, with Agibot asserting that "real factory deployment" versus "corporate lab demonstration" is the meaningful benchmark for the industry .

The Bottom Line

The Agibot G2 livestream marked a shift in the humanoid robotics narrative from "can it work?" to "is it working in production?" While Figure AI continues to advance bipedal locomotion and general-purpose AI, Agibot's bet is that the first-mover advantage in real factory throughput — at 310 units per hour with 99%+ reliability — will define the near-term competitive landscape. Whether that bet pays off depends on how quickly both companies can scale and iterate. For now, the cameras in Nanchang showed one version of the future: humanoid robots earning their keep on a live assembly line.

Key on-screen metrics reported during and after the stream included:

• Up to 310 units per hour (UPH) throughput per robot station
• 18–20 second cycle time per unit
• 99%+ success rate on inspection and sorting tasks
• Line integration in 36 hours
• ~3,000 units processed per shift per robot station

Agibot's central claim was that these robots were operating in a real, active mass-production factory — not a staged lab environment — making the livestream a direct rebuttal to Figure AI's earlier controlled-lab broadcast .

Agibot G2 vs. Figure AI: Head-to-Head Comparison

The two companies represent fundamentally different design philosophies for humanoid robots. Agibot's G2 is a purpose-built industrial wheeled robot optimized for factory throughput, while Figure AI's Figure 03 is a more general-purpose bipedal walking platform designed for eventual home use .

Key difference: Agibot stressed that its livestream came from a real high-volume manufacturing line already in production, while Figure AI's demonstrations — though technically impressive with bipedal locomotion and the Helix AI model — were conducted in lab or pilot settings . Figure AI's Figure 03 is a bipedal platform with home-use ambitions, whereas the G2 is a wheeled industrial robot optimized for factory throughput .

Technical Specifications of the Agibot G2

The G2 is built for industrial-grade precision and continuous operation .

The G2 uses 7-DoF force-controlled arms with integrated force-torque sensing, allowing it to handle delicate electronics components without damage . It is designed for automotive-grade industrial standards and intended for 24/7 continuous factory operation .

Production Metrics and Scale

Agibot's manufacturing ramp has been aggressive:

• 5,000 units rolled off the Shanghai production line by December 2025
• 10,000 units produced by March 2026 — doubling output in three months
• Agibot declared 2026 as "Deployment Year One", shifting from R&D demos to large-scale commercial rollout
• The company introduced an L1–L5 autonomy framework, claiming current systems at Level 3 (conditional automation in constrained environments)
• Agibot stated a target of 10,000 humanoid shipments for 2026, backed by aggressive data-collection expansion to improve real-world performance
• The Longcheer deployment was called the "world's first embodied AI deployment" in a live consumer electronics mass-production line

Broader Strategic Ambitions

"Deployment Year One" (2026): Agibot's leadership explicitly framed 2026 as the year the company moves from lab demonstrations to large-scale commercial deployment of embodied AI across multiple manufacturing verticals . The Longcheer tablet line is the flagship reference case.

Industry vertical expansion: Prior to the tablet factory deployment, Agibot demonstrated G2 in auto parts production (seatbelt lock cylinder assembly, material handling) and precision task workflows . The company aims to penetrate automotive, consumer electronics, and general manufacturing sectors.

L1–L5 autonomy roadmap: Agibot publicly defined a capability ladder with Level 3 as current state (conditional automation in bounded factory zones), targeting higher levels for less constrained environments .

Data at scale thesis: Agibot has emphasized that high-quality real-world operational data — not just hardware — is the core competitive moat, and is aggressively scaling data collection from deployed production units to feed its AI training pipeline .

Production capability as a differentiator: Having already surpassed 10,000 units produced, Agibot claims a massive manufacturing volume advantage over most competitors, which it argues enables faster iteration cycles and lower per-unit costs .

Global PR battle with Figure AI: The June livestream was explicitly timed and framed as a response to Figure AI's lab-based demos, with Agibot asserting that "real factory deployment" versus "corporate lab demonstration" is the meaningful benchmark for the industry .

The Bottom Line

The Agibot G2 livestream marked a shift in the humanoid robotics narrative from "can it work?" to "is it working in production?" While Figure AI continues to advance bipedal locomotion and general-purpose AI, Agibot's bet is that the first-mover advantage in real factory throughput — at 310 units per hour with 99%+ reliability — will define the near-term competitive landscape. Whether that bet pays off depends on how quickly both companies can scale and iterate. For now, the cameras in Nanchang showed one version of the future: humanoid robots earning their keep on a live assembly line.