Subject Code & Name: RA25405 – Robot Trajectory, Dynamics and Control Laboratory
Regulation: R-2025
Semester: IV (Fourth Semester)
Branch: B.E. Robotics and Automation (Robotics)
Credits / L-T-P: 2 Credits | L-T-P: 0-0-4
Course Objectives
- To develop practical skills in robot kinematics, trajectory planning, dynamic modelling, control, programming, and simulation for industrial robotic applications.
Full Unit-wise Syllabus
List of Experiments
- Study of forward kinematics and Jacobian matrix of serial robotic manipulators.
- Generation of joint-space and end-effector trajectories for 1-DOF and 2-DOF robotic manipulators.
- Generation and analysis of joint-space and Cartesian-space trajectories for multi-axis robotic manipulators.
- Optimization of joint angles for a specified end-effector position and orientation.
- Analysis of robot singularities and manipulability using Jacobian matrix methods.
- Determination of joint torques from end-effector forces using Jacobian transpose techniques.
- Development of dynamic models of robotic manipulators using Euler–Lagrange formulation.
- Simulation and analysis of robot dynamics considering inertia, Coriolis and gravity effects.
- Generation of cubic, quintic and cycloidal trajectories for robotic manipulators.
- Implementation of PID-based position and velocity control of robotic joint actuators.
- Implementation of computed torque control for manipulator trajectory tracking.
- Implementation of force and impedance control strategies for constrained robotic motion.
- Study of adaptive control methods for robotic manipulators under varying operating conditions.
- Programming and simulation of robotic manipulation tasks using industrial robot simulation platforms.
- Programming of serial manipulators for pick-and-place applications.
- Programming of serial manipulators for continuous path motion applications.
List of Equipment and Software Required
- Industrial 6 Axis Articulated Robot – 2 Nos.
- Industrial 4 Axis SCARA Robot – 1 No.
- Software: MATLAB / RoboDK / any proprietary software related to the above robots with simulation capabilities (e.g., EPSON – EPSON RC+, ABB – RobotStudio, FANUC – ROBOGUIDE, KUKA – KUKA.Sim).
Course Outcomes (COs)
- CO1: Apply robot kinematics, trajectory planning, and dynamic modelling techniques for robotic manipulators.
- CO2: Develop and implement robot control, programming, and simulation for industrial robotic applications.
Assessment Pattern (Quick Note)
- Weightage: Continuous Assessment 60% | End Semester Lab Examinations 40%
Source: Official Anna University – B.E. Robotics and Automation R-2025 Syllabus
Last Updated: October 2026
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