Moving Beyond the Next-Generation of Robotic Automation Challenges:
- Costly Implementation – Industrial robotics can take a long time to get up and running
- Single-Tasking – Most industrial robots are highly programmed for one task only
- Data and Power Consumption – Today’s deep learning AI approaches (e.g., LLM1 for generative AI) require vast amounts of training data and are power-hungry
- Sensor Disruption – Often discrete and not optimized to work in unison with multiple sensors or to adapt and adjust for lost functionality of a single sensor
Closed-Loop Autonomy: Setting the Standard for Robotic Implementation and Operation
The Palladyne IQ robotic software platform is designed to enable machines to observe, learn, reason, and act like humans by:
- Substantially accelerating speed of programming and training
- Increasing agility to accommodate variability in task sets and use cases
- Reducing the need for human intervention and oversight
- Reducing cost of standing up and maintaining automation
- Evolving from human-in-the-loop to human-on-the-loop operations
- Eliminating the need for continuous cloud connectivity
“The key for us is enabling autonomy in an unstructured …
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