The global push for industrial automation is accelerating, driven by an aging workforce, increasing safety regulations in hazardous environments, and the demand for higher precision in manufacturing. Companies are seeking solutions that enable robots to perform complex tasks with human-like dexterity and adaptability, without requiring extensive operator training. This technology directly supports these trends by offering a more intuitive and efficient human-robot interface, critical for expanding robotic capabilities into new, challenging applications and maintaining competitive advantage.
Provides intuitive and high-speed operation by feeding back robot ground pressure to the operator's soles, enabling real-time perception of center of gravity shifts for stable, rapid movements difficult with conventional autonomous control.
Demonstrates high uniqueness with only three prior art documents cited by examiners, securing a strong patent that overcame rejections, establishing a robust foundation for market advantage.
Enables adaptive responsiveness to unpredictable field conditions and complex tasks, as the robot follows operator arm and torso movements, offering flexibility beyond autonomous control.
This patent protects a remote control system that provides haptic feedback to the operator's soles, enabling intuitive and stable high-speed robot operation. Its strong claims, covering a broad technical scope, were granted after overcoming examiner objections with only three prior art citations, indicating high uniqueness and resilience against invalidation.
White space exists in integrating this haptic feedback with other sensory modalities (e.g., visual, auditory) for enhanced immersion, or in developing advanced AI-driven autonomous decision-making layers that complement, rather than replace, the intuitive human control.
Assuming 5 workers in remote hazardous operations with an annual labor cost of $40K/person (AI est.). Implementing this remote control system could reduce hazardous duty pay, improve operational efficiency by 20%, and lower insurance premiums due to reduced accident risk, resulting in an estimated annual cost reduction of ~$200K (AI est.).
X: Intuitive Control
Y: Adaptive Task Range