AvaWatz: Revolutionizing Transit, Flightline, and Surveillance with Robotics
Rajini Anachi, CEO
AvaWatz, a next-generation AI decision intelligence company, provides an innovative solution to the problem of hazardous material removal by implementing robot teams. The firm employs aerial robots to detect hazardous materials on runways and subsequently deploys ground robots to remove the debris from the locations identified by the aerial robots. This approach allows diverse robotic agents to collaborate effectively, enabling them to accomplish more intricate tasks. Furthermore, AvaWatz’s product platform enables teams of mobile robotic agents to work independently or alongside human partners to perform complex, multi-part tasks that are difficult, dangerous, or tedious for humans.
“Our focus lies in developing vision, perception, and autonomous robotic teaming solutions. We address the challenge of managing tasks characterized by error-prone and hazardous working conditions for humans,” adds Rajini Anachi, founder, CEO of AvaWatz.
AvaWatz’s innovative use of robotic systems that work collaboratively has set the company apart in the industry. Robots depend on AI for guidance and decision-making, so trust in AI is a critical concern; users and teammates must have confidence that robots will act safely and correctly. To address concerns about reliability and potential errors with AI algorithms, the company has implemented a “trusted AI envelope” that ensures the robustness and dependability of its services from the outset.
Developing a faster, safer, and more efficient solution for removing hazardous materials from runways is a significant advancement, particularly given the size of the global airline industry. This represents a vast market opportunity for AvaWatz’s products and services.
Moreover, the company offers services that cater to customers from different sectors, providing a unique advantage to the business. While some customers may be interested in the company’s Vision and Perception capabilities, others focus on Team-based Navigation, no- GPS operations and design. AvaWatz’s platform allows customers to select and purchase services relevant to their specific needs, further enhancing the company’s appeal.
When customers utilize robotic systems for performing specific tasks, one primary concern is the system’s ability to accurately perceive and identify relevant objects within the larger context of the scene. To address this issue, AvaWatz has developed a real-time action planning system that sends necessary commands to robotic agents on the ground and in the air as new information becomes available. The company’s system depends on real-time detection, decision-making, and action to allow specialist robots to work together, contributing to the operation’s overall success. AvaWatz has made the technological infrastructure used to develop their respective use cases accessible to customers, robot manufacturers, and integrators.
AvaWatz’s client onboarding process begins with analyzing the client’s use case and identifying the required sensors and constraints. The client selects inference modules based on the use case and subscription tier, with a corresponding Service Level Agreement (SLA) for support. The client can adapt the system for specific use cases to account for unique application objectives, objects of interest, and operational conditions. Special sensors can be integrated, for example for defense and day and night operations.
Moreover, with climate becoming warmer and drier in large regions of the U.S., wildfires are now a major public safety and environmental concern.
Moreover, the company offers services that cater to customers from different sectors, providing a unique advantage to the business. While some customers may be interested in the company’s Vision and Perception capabilities, others focus on Team-based Navigation, no- GPS operations and design. AvaWatz’s platform allows customers to select and purchase services relevant to their specific needs, further enhancing the company’s appeal.
When customers utilize robotic systems for performing specific tasks, one primary concern is the system’s ability to accurately perceive and identify relevant objects within the larger context of the scene. To address this issue, AvaWatz has developed a real-time action planning system that sends necessary commands to robotic agents on the ground and in the air as new information becomes available. The company’s system depends on real-time detection, decision-making, and action to allow specialist robots to work together, contributing to the operation’s overall success. AvaWatz has made the technological infrastructure used to develop their respective use cases accessible to customers, robot manufacturers, and integrators.
AvaWatz’s client onboarding process begins with analyzing the client’s use case and identifying the required sensors and constraints. The client selects inference modules based on the use case and subscription tier, with a corresponding Service Level Agreement (SLA) for support. The client can adapt the system for specific use cases to account for unique application objectives, objects of interest, and operational conditions. Special sensors can be integrated, for example for defense and day and night operations.
Moreover, with climate becoming warmer and drier in large regions of the U.S., wildfires are now a major public safety and environmental concern.
Traditionally, human observers in watchtowers and small planes have been the early warning system for detecting outbreaks of fire, but as the vulnerable regions expand in size, fire seasons become longer, and fires emerge more rapidly than before.
Relying solely on human resources proves inadequate in effectively addressing the challenges associated with detecting, measuring, and combatting every fire.
AvaWatz’s innovative approach to robot teams represents a significant advancement in the field of AI decision intelligence. As both AI and robotic technology continue to create new possibilities for intelligent cooperative decision-making and action, AvaWatz’s solutions will play a critical role in ensuring that the new technology leads to more efficient performance of dangerous, difficult, and tedious tasks, increased safety with fewer errors, and increased human productivity.
Relying solely on human resources proves inadequate in effectively addressing the challenges associated with detecting, measuring, and combatting every fire.
To that end, AvaWatz is developing software that enables a team of airborne drones to overfly a wilderness area to detect early fire activity. It will surround the fire and determine its size, shape, and speed and direction of spread, and to coordinate with human and robotic forces on the ground to gather more information, plan escape routes, and help direct firefighting activities. This use case is another illustration of how AvaWatz’s collaborative robot teams can perform tasks that are too dangerous, difficult, and geographically dispersed to be done by human labor alone.Our focus lies in developing vision, perception, and autonomous robotic teaming solutions. We address the challenge of managing tasks characterized by error-prone and hazardous working conditions for humans
AvaWatz’s innovative approach to robot teams represents a significant advancement in the field of AI decision intelligence. As both AI and robotic technology continue to create new possibilities for intelligent cooperative decision-making and action, AvaWatz’s solutions will play a critical role in ensuring that the new technology leads to more efficient performance of dangerous, difficult, and tedious tasks, increased safety with fewer errors, and increased human productivity.
