Simulation of an Autonomous Voice Controlled Robotic Arm using ROS2 and Plansys2

The Autonomous Voice-Controlled Arm Robot (A.V.C.A.R.) project explores the development of a robotic arm capable of executing tasks from natural language voice commands. Implemented in simulation using ROS2 and Plansys2, the system integrates speech recognition, object detection, task planning, and motion planning to enable autonomous manipulation within a workspace. The approach provides an intuitive voice-based interface that improves accessibility for individuals with limited mobility and reduces reliance on manual control. Results from Gazebo simulation demonstrate reliable object recognition, multi-step plan generation, and successful pick-and-place operations. This work highlights the feasibility of combining voice interaction with AI-driven planning to create adaptable assistive robotic systems, with future extensions toward hardware implementation.