Master’s in Bimanual Manipulation and Regrasp Planning Engineering
Online master's programme of 1,900 hours in bimanual manipulation and regrasp planning engineering. 12 modules covering dual-arm systems, cooperative kinematics and control, grasp planning, regrasp planning, handovers, task and motion planning, in-hand manipulation, perception and bimanual learning under ISO 10218-1:2025, ISO 10218-2:2025 and ISO/TS 15066:2016, with an assigned technical tutor.
Master’s in Bimanual Manipulation and Regrasp Planning Engineering — studying from Australia
Robotics and automation are important to Australian industries, especially mining, agriculture, logistics and manufacturing. Autonomous haulage, robotic harvesting and warehouse automation illustrate the breadth of applications. Research bodies such as CSIRO and universities maintain strong robotics programmes, supporting industry collaboration. Engineers work on control systems, sensing, motion planning and industrial integration. Employers include mining technology companies, agricultural technology firms, automation integrators and research organisations.
Fees for Australia: A$12,600 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Will this qualification be recognised by Engineers Australia for robotics and control roles?
SEIUM qualifications are private and not accredited by Engineers Australia or any national body. Engineers Australia assesses engineering competence through its own processes, and recognition of SEIUM training is decided by employers or the body you apply to. Confirm their requirements before enrolling if professional membership matters to you.
Which Australian employers hire people with robotics and automation skills?
Mining, manufacturing, logistics, agricultural technology, and defence companies across Australia employ automation and control engineers. Whether they value a private qualification depends on each employer's policy. Your project work, programming and practical skills are usually central to hiring decisions.
Can I study this part time while working in Australia, and are there payment options?
Yes, the programmes are 100% online, taught in English, and include an assigned technical tutor, so you can study from anywhere in Australia around work hours. Fees are payable in instalments, and employer sponsorship is possible. Confirm the programme length, which ranges from 300 to 1,900 hours, and plan accordingly.
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
Model the cooperative kinematics of dual-arm systems.
Design cooperative controllers with internal force regulation.
Synthesise stable, task-oriented grasps.
Plan regrasp sequences and hand-to-hand transfers.
Integrate task and motion planning.
Apply imitation learning to bimanual tasks.
Evaluate industrial applications of bimanual manipulation.
Who it's for
- Robotic manipulation engineers.
- Task planning researchers.
- Bimanual robotics developers.
- Dual-arm robot integrators.
- Robot learning engineers.
- Automated assembly specialists.
- Engineering or science graduates aiming to enter the electronics sector.
What you'll work with
- ISO 10218-1:2025 (safety requirements for industrial robots)
- ISO 10218-2:2025 (safety of robot applications and cells)
- ISO/TS 15066:2016 (collaborative robot safety)
- ISO 9283:1998 (robot performance criteria and test methods)
- ISO 8373:2021 (robotics vocabulary)
- ISO 13849-1:2023 (safety-related parts of control systems)
- MoveIt 2
- GraspIt!
- PDDLStream
- MuJoCo
- ROS 2
12 modules · 1900 h
1.1Dual-arm and humanoid architectures1.2Kinematics of closed chains1.3Shared workspace1.4Taxonomy of bimanual tasks1.5Symmetric and asymmetric coordination1.6Commercial dual-arm robots1.7Advantages over single-arm cells1.8Inspiration from human manipulation1.9Bimanual research platforms1.10Case study: analysis of a bimanual task
2.1Absolute and relative variables2.2Cooperative Jacobian of the dual-arm system2.3Closed-chain constraints2.4Load distribution between arms2.5Internal forces on the object2.6Redundancy in dual-arm systems2.7Singularities in cooperative configurations2.8Bimanual manipulability ellipsoids2.9Dynamics of the grasped object2.10Practical: cooperative modelling of two arms
3.1Master-slave control scheme3.2Symmetric control of a shared object3.3Cooperative impedance on the object3.4Internal force regulation3.5Task-space control3.6Hierarchical task priorities3.7Collision avoidance between arms3.8Time synchronisation of motions3.9Robustness to object uncertainty3.10Lab: cooperative transport of an object
4.1Geometric grasp synthesis4.2Grasps with CAD models4.3Grasps on point clouds4.4Grasp quality and stability4.5Task-compatible grasps4.6Grasp selection for two hands4.7Kinematic reachability of the grasp4.8Grasp databases4.9Grasping articulated objects4.10Practical: grasp generation with GraspIt!
5.1The concept of regrasping and grasp change5.2Grasp graphs and stable placements5.3Regrasping with a support surface5.4Iterative pick-and-place sequences5.5Planning minimal sequences5.6Reorientation with intermediate fixtures5.7Using the environment as a tool5.8Collision constraints during regrasping5.9Time cost of regrasping5.10Workshop: tabletop regrasp planner
6.1Handover between the robot arms6.2Transfer configurations6.3Searching for exchange poses6.4Synchronising opening and closing6.5Stability during the transfer6.6Reorientation through handover6.7Combination with tabletop regrasping6.8Transfers with fragile objects6.9Evaluating transfer success6.10Lab: handover between two arms
7.1Integrated task and motion planning (TAMP)7.2Symbolic planning with PDDL7.3Sampling geometric constraints7.4Hierarchical task planning7.5Behaviour trees7.6Ordering and precedence constraints7.7Replanning after failures7.8Tools such as PDDLStream and TAMP7.9Scaling to long-horizon tasks7.10Practical: assembly TAMP with PDDLStream
8.1Reorientation with fingers8.2Controlled rolling and sliding8.3Pivoting with gravity8.4Extrinsic manipulation using the environment8.5Underactuated and adaptive hands8.6Tactile sensors for in-hand manipulation8.7Learning reorientation8.8Comparison with external regrasping8.9Limitations of industrial grippers8.10Case study: reorientation by pivoting
9.1Object pose estimation9.2Tracking during grasping9.3Active vision with a wrist camera9.4Detecting occlusions caused by the hands9.5Tactile and visual fusion9.6Task state recognition9.7Calibration of multi-camera systems9.8Deformable and articulated objects9.9Grasp failure detection9.10Practical: object tracking during handover
10.1Bimanual teleoperation for data collection10.2ALOHA and similar platforms10.3Imitation learning with ACT10.4Bimanual diffusion policies10.5Learning coordination between arms10.6Generalisation to new objects10.7Bimanual simulation in MuJoCo10.8Policy evaluation10.9Limitations and risks10.10Lab: imitation of a bimanual task in simulation
11.1Assembly of flexible parts11.2Handling cables and hoses11.3Folding textiles11.4Electronics assembly with dual arms11.5Laboratory automation with dual-arm robots11.6Logistics and packaging11.7Safety of dual-arm robots11.8Programming commercial dual-arm robots11.9Cost and return on investment11.10Case study: assembly cell with a dual-arm robot
12.1Selection of the bimanual task12.2Kinematic modelling of the system12.3Design of the grasp strategy12.4Planning regrasps and transfers12.5Implementation of cooperative control12.6Validation in simulation or on a robot12.7Analysis of time and success rate12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
A 100% online programme on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so it fits alongside your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MoveIt 2, GraspIt!, PDDLStream, MuJoCo and ROS 2, in free, academic or evaluation versions. Exercises are based on real procedures: regrasp planning in simulation, transfers between two arms, and bimanual imitation learning. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO 10218-1:2025, ISO 10218-2:2025, ISO/TS 15066:2016, ISO 9283:1998, ISO 8373:2021, ISO 13849-1:2023.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent proven professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
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 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with MoveIt 2, GraspIt!, PDDLStream, MuJoCo and ROS 2, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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