AGIBOT stated its G2 robotic is made with 100% automotive-grade parts and has full machine IP42 safety. | Supply: AGIBOT
AGIBOT this week introduced it deployed its AGIBOT G2 robots right into a reside shopper electronics precision manufacturing atmosphere operated by Longcheer Know-how. With the deployment, AGIBOT stated it has achieved large-scale industrial implementation of embodied AI techniques inside core manufacturing workflows in shopper electronics manufacturing.
Longcheer has built-in a number of AGIBOT G2 robots into its pill manufacturing traces. Right here, the robots work alongside human operators in actual manufacturing environments. AGIBOT stated the deployment marks a transition of embodied AI from laboratory demonstration to secure, scalable industrial deployment.
“2026 marks the start of large-scale deployment for embodied intelligence,” stated Dr. Yao Maoqing, a associate, senior vice chairman, and president of the embodied enterprise unit at AGIBOT. “This mission demonstrates that embodied AI is not experimental. It’s a sensible, production-ready functionality that may function reliably beneath actual industrial situations and ship measurable financial worth.”
AGIBOT strikes from pilot to real-world deployment
The buyer electronics manufacturing sector has lengthy confronted structural challenges. These embrace inflexible manufacturing traces, prolonged reconfiguration cycles, and problem adapting to fluctuating demand. As product lifecycles shorten and multi-model, small-batch manufacturing turns into the norm, conventional automation techniques, typically pricey and rigid, battle to maintain tempo.
The joint AGIBOT-Longcheer initiative introduces embodied intelligence as a essentially new strategy to manufacturing flexibility. By combining general-purpose robotics with AI-driven notion and decision-making, the system permits speedy adaptation to dynamic manufacturing necessities with out in depth {hardware} reconfiguration.
Inside Longcheer’s manufacturing atmosphere, the AGIBOT G2 robots are primarily deployed at multimedia built-in testing stations. Right here, they carry out precision loading and unloading duties.
Working on high-speed meeting traces, the robots autonomously choose up tablets, navigate complicated manufacturing facility layouts, place gadgets into testing fixtures with millimeter-level accuracy, and type completed or faulty models accordingly.
Not like standard industrial automation, the system requires no customized tooling. Moreover, it helps mixed-model manufacturing, enabling sooner changeovers and considerably lowering downtime.
Efficiency at an industrial scale
AGIBOT’s G2 robotic options 26 levels of freedom throughout its complete physique. | Supply: AGIBOT
The deployment has demonstrated robust, quantifiable efficiency throughout key industrial metrics:
- Throughput: As much as 310 models per hour (UPH)
- Cycle Time: roughly 19-20 seconds per operation
- Success Charge: Over 99% in steady operation
- Deployment Time: Manufacturing line integration accomplished inside 36 hours
- Manufacturing Output: Roughly 3,000 models per shift
- Operational Stability: Helps 24/7 autonomous operation with minimal human intervention, over 140 hours of cumulative steady operation, with downtime loss under 4%
A single AGIBOT G2 robotic can change a number of handbook processes whereas sustaining constant output, enabling producers to stability effectivity, price, and adaptability in a unified system.
Longcheer to deploy 100 robots by Q3
AGIBOT stated its G2 robotic is able to 24/7 operation, enabled by its twin hot-swappable batteries and pass-through charging. | Supply: AGIBOT
The system’s efficiency is enabled by AGIBOT’s embodied AI strategy, which permits robots to be deployed shortly, adapt to altering manufacturing situations, and function reliably in high-speed manufacturing environments.
By combining simulation-based validation, RL, and on-device intelligence, the system minimizes setup time, reduces the necessity for handbook changes, and ensures secure efficiency in steady manufacturing.
With a number of models already in operation, AGIBOT plans to broaden deployment to 100 robots by Q3 2026, whereas accelerating adoption throughout industries, together with automotive, semiconductors, and vitality.
“This deployment represents greater than a technical milestone; it marks the primary real-world validation of embodied AI in shopper electronics precision manufacturing,” stated Li Lengthy, the overall supervisor of Longcheer’s robotics division. “Working intently with AGIBOT, we accelerated the trail from innovation to manufacturing. In simply 4 months, the AGIBOT G2 was built-in into Longcheer’s mass manufacturing line, delivering secure, steady operation and assembly all key targets. This milestone highlights a scalable path ahead for embodied AI in manufacturing.”
