Robot Control API
Operators check battery levels, send movement instructions, and assign tasks to robots by simply chatting with your AI agent. The agent translates natural language into precise API commands and returns real-time status. Robotics management becomes as simple as sending a message.
Your AI agent bridges the gap between human operators and robotic systems, translating conversational requests into precise movement commands, task assignments, and status checks.
Robot Control API
From warehouse floors to manufacturing lines, see how AI-powered chat interfaces simplify robotic operations for teams without technical backgrounds.
A shift supervisor opens the chat and asks 'What is the robot's battery level and status?' Your AI Agent queries the status endpoint, retrieves 72% battery with idle state at normal temperature, and reports back. The supervisor decides to assign one more task before the charging cycle. No dashboard logins, no walking to the robot. Operational decisions made from a phone screen.
The facilities manager sends a message saying 'Have the robot clean section B.' Your AI Agent issues the perform-task command with 'clean section B' as the task parameter and confirms acceptance. When the robot finishes, a follow-up status check shows idle state again. The manager coordinated robotic cleaning from their desk without touching a controller or opening specialized software.
At closing time, an operator messages 'Check status, then shut down if battery is above 20%.' Your AI Agent first queries battery level, confirms it is at 45%, then sends the shutdown command. The robot powers down safely. If battery had been critically low, the agent would have recommended charging instead. Conditional logic handled through conversation, not programming.
Robot Control API
FAQs
The status endpoint returns three data points: battery level as a percentage, internal temperature in degrees, and current operational state. The state can be idle, moving, working, charging, or error. Your agent formats this into a readable summary so operators know exactly what the robot is doing at any moment.
Yes. The move endpoint accepts a direction (forward, backward, left, right) and a distance in meters as a float value. When an operator says 'Move forward 2.5 meters,' the agent translates that into the structured API request with direction: forward and distance: 2.5, then confirms execution.
The perform-task endpoint accepts any task name as a string parameter. Common examples include 'clean,' 'patrol,' or 'transport.' The available tasks depend on your robot's firmware and programming. The agent sends whatever task the operator describes, and the robot executes it if the command is recognized.
You can configure your Tars agent to require confirmation before executing shutdown. For example, the agent can first check the robot's status and warn if a task is in progress. You can also restrict shutdown commands to specific authorized users through your agent's gambit permissions.
The agent can be configured to check status before sending any command. If the state shows 'error,' the agent alerts the operator with the current temperature and battery data, recommends maintenance intervention, and holds the task until the error is resolved. No commands sent to a malfunctioning unit.
Yes, the API accepts commands from any authorized source. However, you should configure your agent to enforce queue-based or priority-based command handling to prevent conflicting instructions. Tars gambit logic can manage operator roles and command sequencing.
The Robot Control API processes commands immediately upon receipt. For scheduled operations, configure your Tars agent with time-based triggers that send commands at specified intervals. The agent can queue a shutdown at 6 PM or initiate a patrol every hour using its workflow automation.
Native control panels require physical access or specialized software. The Tars integration lets any team member issue commands through familiar messaging interfaces like WhatsApp or a web chat. The agent adds conversational intelligence, confirming commands, checking preconditions, and providing status context that raw API calls do not.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
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