Postgraduate Diploma in Grasp and Complex Trajectory Planning
800-hour online Postgraduate Diploma in Grasp and Complex Trajectory Planning. 8 modules covering ISO 10218-1, ISO 10218-2 and ROS 2 with MoveIt 2. Dedicated tutor and enrolment now open.
Postgraduate Diploma in Grasp and Complex Trajectory Planning — studying from India
India's automation and robotics market is growing with the expansion of manufacturing, automotive and electronics production. Industrial automation firms such as ABB, Siemens, Fanuc and Bosch operate in the country, alongside domestic integrators and start-ups in Bengaluru, Pune, Chennai and Hyderabad. Research institutions including the Indian Institute of Science and several IITs contribute to robotics and control research. Standards for industrial machinery and safety draw on the Bureau of Indian Standards. Engineers in this area design control systems, robotic cells, automation solutions and programmable logic controllers for factories and warehouses.
Fees for India: ₹190,000 (Indian Rupee), with instalments and employer sponsorship available.
Relevant bodies in India
Typical roles
Questions from India
Is there a professional body in India that recognises robotics and automation engineers?
Robotics in India has no separate statutory title. The Institution of Engineers (India) is the main general engineering body, and technical standards come from the Bureau of Indian Standards. SEIUM's qualification is private and not accredited by any national body, so recognition rests with employers and the relevant body.
Which employers in India hire robotics and automation engineers?
Automotive plants, electronics manufacturers, factory automation suppliers, logistics firms, and robotics startups are typical employers. Hiring focuses on skills and project experience. The qualification can support a profile, but employers decide how much it counts and no outcome is guaranteed.
Can I study robotics online from India while working, and what language?
Yes, the programme is 100% online, so you can study from anywhere in India without a student visa and fit it around work. It is taught in English, so you need a reasonable level of the language. Each student has an assigned technical tutor, fees can be paid in instalments, and employer sponsorship is possible.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse grasp mechanics and calculate grasp quality metrics.
Synthesise grasps from CAD models and perception data.
Apply sampling-based and optimisation-based planners in environments with obstacles.
Generate complex continuous trajectories for industrial processes.
Integrate task and motion planning in pick-and-place operations.
Use 3D perception to grasp unknown objects.
Evaluate manipulation cells using success and cycle-time indicators.
Who it's for
- Robotic manipulation engineer who wants to specialise in Grasp and Complex Trajectory Planning.
- Motion planning software developer who wants to specialise in Grasp and Complex Trajectory Planning.
- Bin picking systems integrator who wants to specialise in Grasp and Complex Trajectory Planning.
- 3D vision engineer who wants to specialise in Grasp and Complex Trajectory Planning.
- Offline robot programmer who wants to specialise in Grasp and Complex Trajectory Planning.
- Robotics researcher in grasping who wants to specialise in Grasp and Complex Trajectory Planning.
- Engineering or science graduates seeking to enter logistics and e-commerce.
What you'll work with
- ISO 10218-1
- ISO 10218-2
- ISO 9409-1
- ISO 9283
- ISO 12100
- ISO 8373
- ISO 13849-1
8 modules · 800 h
1.1Contact types: point, frictional and soft1.2Friction cones and their linearisation1.3Form closure and force closure1.4Grasp matrix and wrench space1.5Grasp quality metrics1.6Multi-fingered hands and parallel grippers1.7Suction grasping and suction cups1.8Modelling grippers in URDF1.9Custom finger design for parts1.10Practical: grasp quality calculation in Python
2.1Grasp sampling on CAD models2.2Analytical versus data-driven grasping2.3Grasp detection networks (GQ-CNN)2.46-DoF grasping on point clouds2.5Grasping unknown objects2.6Bin picking with entangled objects2.7Task-oriented grasps2.8Grasp datasets and benchmarks2.9Grasping articulated and deformable objects2.10Laboratory: grasp detection on point clouds
3.1Configuration space and obstacles3.2Sampling-based planners PRM and RRT3.3RRT* and asymptotically optimal planning3.4Optimisation-based planning with CHOMP and STOMP3.5Orientation constraints on trajectories3.6Path smoothing and shortcutting3.7Time parameterisation with TOPP-RA3.8Trajectories with jerk limits3.9Collision checking with meshes and primitives3.10Workshop: comparing planners in OMPL
4.1Continuous Cartesian trajectories4.2Interpolation with splines and B-splines4.3Welding path tracking4.4Painting and coating trajectories4.5Generation from CAD/CAM for robots4.6External axes and coordinated positioners4.7Wrist singularity avoidance4.8Redundancy optimisation in trajectories4.9Tool centre point calibration4.10Practical: welding trajectory generation from CAD
5.1Task and motion planning (TAMP)5.2Pick-and-place sequences with regrasping5.3Grasping with placement constraints5.4Non-prehensile manipulation and pushing5.5Planning in dynamic environments5.6Reactive replanning after scene changes5.7Planning in multi-robot cells5.8Cycle time and sequence optimisation5.9Manipulation with object orientation constraints5.10Laboratory: pick-and-place task with regrasping in MoveIt
6.1RGB-D and active stereo cameras6.2Object instance segmentation6.36D object pose estimation6.4Collision detection with OctoMap6.5Extrinsic calibration between camera and robot6.6Handling transparent and reflective objects6.7Grasp verification with tactile sensors6.8Uncertainty and robust grasping6.9Tracking moving objects6.10Case study: bin picking of metal parts
7.1Grasp success rate indicators7.2Cycle time measurement7.3Grasp failure analysis7.4Pre-simulation with a digital twin7.5Integration with PLCs and MES systems7.6Robotic cell safety7.7Maintenance of grasping tools7.8Continuous system improvement7.9Operator training in the picking cell7.10Case study: evaluation of a logistics picking cell
8.1Definition of evaluation metrics8.2Definition of the manipulation scenario8.3Gripper and perception selection8.4Grasp synthesis and evaluation8.5Trajectory planning8.6Simulation integration8.7Experimental validation in the cell8.8Analysis of results8.9Report and presentation8.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded lectures and a dedicated technical tutor. There are no fixed timetables: students progress at their own pace within the enrolment period, which makes it easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2 with MoveIt 2, OMPL, Open3D, NVIDIA Isaac Sim, RoboDK, in free, academic or evaluation versions. Case studies are based on real procedures: bin picking of bulk metal parts, order preparation in a logistics warehouse, and welding trajectory generation from CAD. Assessment is continuous by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Analyse grasp mechanics and calculate grasp quality metrics.
Synthesise grasps from CAD models and perception data.
Apply sampling-based and optimisation-based planners in environments with obstacles.
Generate complex continuous trajectories for industrial processes.
Integrate task and motion planning in pick-and-place operations.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical standards documentation.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with full-time work.
You will work with ROS 2 with MoveIt 2, OMPL, Open3D, NVIDIA Isaac Sim, RoboDK. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An own diploma from SEIUM Institute upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Please check the recognition policy when you enrol.
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