Tennis Robot Collaboration for Autonomous Ball Speed and Direction Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The need for a mobile robotic device capable of playing sports, particularly tennis, to eliminate the requirement for a human opponent in training scenarios, and to facilitate robotic collaboration and automation in environments such as homes and manufacturing warehouses.
Innovation Solution
A system comprising a robotic device with wheels, sensors, and a processor that navigates, maps, and executes actions, paired with a communication device for input and collaboration, allowing for adjustable tennis ball hitting and launching, and collaboration with other robotic devices to play tennis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a mobile robotic device is designed to play tennis autonomously, then the need for a human opponent in training is eliminated, but the device complexity increases due to multiple sensors, wheels, and coordinated action systems
Solution Approach 1:
The robotic device is divided into distinct functional modules: a chassis with wheels for movement, a sensor system for perception, a processor for decision-making, and an actuator system for executing tennis actions. This segmentation allows each component to be optimized independently while working together to achieve autonomous play.
Solution Approach 2:
The robotic device is designed with multi-functionality to perform various tennis-related tasks including serving, returning balls, navigating the court, and collaborating with other robotic devices. The same core system can adapt to different playing scenarios and difficulty levels, eliminating the need for specialized equipment for each function.
2Measurement precision
If the robotic device uses multiple sensors to navigate and map the environment, then the measurement precision of the environment is improved, but the device complexity and energy consumption increase
Solution Approach 1:
Multiple sensors are integrated into a unified sensor system that works together to navigate and map the environment. The sensors process information collaboratively to create a comprehensive understanding of the court layout, obstacles, and playing conditions, achieving high measurement precision through combined data from multiple sources.
3Productivity
If the robotic device executes coordinated actions with timing between multiple operations, then the productivity of tennis training is improved, but the control system complexity increases
Solution Approach 1:
The control system pre-plans and coordinates sequences of actions before execution. By preparing the timing and coordination of multiple operations in advance, the system achieves efficient productivity while managing control complexity through structured preparation rather than real-time complex decision-making.
4Adaptability or versatility
If the robotic device provides adjustable tennis ball hitting speed and direction, then the adaptability for different training scenarios is improved, but the device complexity increases due to additional control mechanisms
Solution Approach 1:
The robotic device incorporates dynamic control mechanisms that allow real-time adjustment of tennis ball hitting speed and direction. The system can adapt to different training scenarios by dynamically modifying these parameters, providing versatility while managing complexity through flexible, real-time control rather than multiple fixed mechanisms.
Data Source
AI summary
Provided is a system for robotic collaboration. A first robotic device executes a first action and a second robotic device executes a second action upon the first robotic device completing the first action. An application of a communication device is paired with the first robotic device and the second robotic device. The application is configured to receive at least one input designating, for example, a hitting speed of a tennis ball, a hitting direction of a tennis ball, a unique tag of a subarea in a map of an environment, a task schedule of the first robotic or second robotic device, a driving speed, a selection of a particular user profile, an instruction to drive to a user-identified location, an instruction to turn in a left or right direction, an instruction to drive forwards or backwards, an instruction to stop moving, etc.


