Enables deterministic inverse kinematics solving for 6-DOF robotic manipulators, converting poses to joint angles for UR5 and Franka Emika robots via MCP.
Enables autonomous robotic systems to generate and smooth trajectories with continuous position, velocity, and acceleration boundary constraints, analytic jerk minimization, spatial intelligence, and tactile control through MCP tools.
Exposes a zero-dependency MCP server that ingests depth-sensor, joint-encoder, and tactile-array telemetry to deliver real-time spatial intelligence, trajectory generation, and safety-guarded control vectors for autonomous robots. It tracks shear-to-normal force ratios, detects micro-vibration slip onset, and adapts grasp force dynamically so agents can prevent object slip during manipulation.
This MCP server enables inspecting ROS 2 manipulators, computing kinematics, planning motion, and managing primitive MoveIt planning-scene objects via a typed API, with no physical execution support.