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Patent MarketPlace: Robotics/Automation Patents for Sale

Smarter Autonomous Cleaning Devices (ADB): International Patent Portfolio

Autonomous devices that clean and treat surfaces – vacuum cleaners, mopping devices, polishers and lawn mowers are just a few – are becoming more and more popular. As these devices move across the surface they are cleaning or treating, determining the most energy-efficient path for the device is a key element in reducing operating costs. The devices also need to completely cover the surface they are treating if they are to complete the tasks they were employed to perform. Finally, these devices need to access hard-to-reach areas in corners and behind doors. This comprehensive, international patent portfolio addresses all of these needs.

Using a cellular network – similar to what cellular telephones use, but on a much larger basis – the first patent family guides the autonomous device from cell to cell, tracking what cells were covered and which were not – to ensure complete and efficient coverage of the surface area. The second patent family uses a sensor to scan the area to be treated, identifying areas that are blocked, for example, by an open door, and making sure they are covered. The third patent family creates an autonomous device with a movable assembly that is attached to the chassis to access corners and other out-of-the-way areas.

This portfolio consists of two U.S. Patents and one U.S. Patent Application, one European Patent and one European Patent Application, and a Chinese Patent Application.

This portfolio would be a strategic acquisition for any manufacturer of autonomous cleaning or surface-processing equipment, or a manufacturer looking to enter that growing business segment with a distinct technological advantage over the competition.

Pop-Up Automated EV Charging Station (Kauffmann): Three Patents plus U.S. and PCT Patent Application

Electric vehicles have arrived, and along with them a whole new set of challenges. Most EVs are charged at home at night, but increasingly electric vehicles are being charged 24/7 at charging stations that are popping up across the country. The first all-electric “gas station” just opened in Takoma Park, Maryland. One of the challenges facing the EV industry is the best way to charge all these electric vehicles, and how to do it efficiently and safely.

This portfolio presents a comprehensive solution. Rather than charge the vehicle through a port on the side of the vehicle – essentially replacing where the gas cap was with an electrical port – this portfolio re-thinks the entire concept. The EV drives into the charging station, and a robotic arm rises up from the floor and plugs into the bottom of the car to recharge its battery. The configuration is waterproof, so there is no danger and no damage when it rains. And since the driver of the car does not actually touch any part of the charging equipment, it is much safer, dramatically reducing the possibility of injury or death.

The patented invention also creates a whole new level of convenience for EV owners who do not have to get out of their cars during inclement weather. They can stay in the car while it’s charging, or step out of the car to get a cup of coffee, visit the restroom, or just stretch their legs. For the growing number of autonomous vehicles, this invention addresses the question: Who in a driverless vehicle is going to step out of the car and plug in the charging device?

Patent No.Title
9,543,769Management Center Module for Advanced Lane Management Assist for Automated Vehicles and Conventionally Driven Vehicles
9,780,584Pop up electrical apparatus with safety system
9,862,284Pop up electrical apparatus with wireless charging component for electric vehicles

The portfolio also includes U.S. Patent Application 20190009680 and PCT Patent Application 2019010375 for “An apparatus that automates the connecting process between a primary connector and a secondary connector for charging an electric vehicle.” This portfolio would be a strategic acquisition for any company currently building or operating charging stations or any EV manufacturer.

Solar Farm Maintenance and Repair Robot (BT Patent): Three U.S. Patents

Solar farms are a common sight these days. Solar power is clean, reliable, efficient and popular. As more and more solar farms are set up, maintaining and repairing those thousands of farms, millions of photovoltaic panels, and the massive hardware infrastructure that supports those farms, will become a critical factor in keeping solar power reliable and affordable.

This portfolio addresses exactly that need by creating a robot to maintain and service solar farms. The robot covered by this patent cleans solar panels of dust, debris, garbage and anything else that collects on them and diminishes their power-generating capabilities. The robot also adjusts the angle of the solar panels throughout the year to optimize the power they generate. Finally, the robot can replace a defective panel, replace sensors that are no longer working, replace any other defective parts, and solder or weld broken contacts. Manual labor is now being used for these tasks, and that means not just paying for the maintenance and repairs, but transporting technicians to and from the solar farms, some of which are in remote locations.

The solar farm maintenance and report robot created by this portfolio:

Patent No.Title
9,020,636Robot for solar farms
9,457,463Robot for solar farms
10,232,505Robot for solar farms

This portfolio would be a strategic acquisition for any robotics company that is ready to create a product specifically for solar farms, or for a solar installer that wants to differentiate its product offerings by adding robotic maintenance.

Control Systems for Robotics and Automation (Silva Viego): U.S. Patent No. 9,908,235

We’ve all seen photos and videos of robots welding parts on an auto factory assembly line or packing products into a carton. For repetitive tasks, robots are efficient and cost-effective, take no vacations or sick days, are never late, never complain and do not belong to a union. One of the reasons a robot never complains is because it has no feelings. But what if a robot had sensors that provided feedback on its operation and environment?

The invention covered by this patent does exactly that – it provides feedback via a robot to the network running the robot. This invention includes a control system for robotic and/or automated systems such as assembly lines. It addresses the problem of not knowing specifics about the system it is controlling but still being able to control the system by using a network of sensors to determine the respective angles and rates of change of those angles between the robot chassis and the components linked to that chassis. Such critical, real-time input would be very useful in systems that cannot have direct sensing at critical junctures. This patent creates a control system that is highly adaptable and versatile. It can be set up to control various systems with minimal modifications. Most robotic systems either do not know enough about the variations and limitations of their system’s components, or the feedback they receive is too general and non-specific, so it lacks the precision a truly advanced automation system needs.

U.S. Patent No. 9,908,235 for a "Robotic System" creates an advanced feedback system for any robotic or automated system that is uniquely simple to implement – yet is computationally very efficient – making maintenance of the system cheaper and easier. This patent would be a key acquisition for any robotics or controls manufacturer or integrator.

Knowledge Driven Software Architecture (Zhuk): Two U.S. Patents

This portfolio is a potentially valuable asset for software development companies that require changing scenarios to be directly included in a software application, and for the companies involved in development of intelligent multi-robot systems having adaptive behavior models. The system learns the changing scenarios on the basis of inputs supplied by a subject matter expert. Further, the technology describes a system that allows an expert to provide the input in ontology language (which is closer to natural language) and translates the input to figure out a user’s intent. The system can learn new rules at run time to match the expert’s expectation.

U.S. Patent No. 7,774,751 for “Knowledge-driven software” and U.S. Patent No. 7,966,093 for "Adaptive mobile robotics system with knowledge-driven software” would be a strategic acquisition for any developer of robotics software.

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