ABB IRB 2600 and IRB 1090 Training Lab at Parul University for Future Robotics Engineers

Most coverage of the ABB Lab inside Lakshya 2047 treats it as a single facility. The lab actually houses two distinct ABB machines, each with a different operational purpose and educational design. This article walks through both.

This article supplements the ABB Robotics and Industrial Automation Lab deep-dive  with the complete two-machine specification that the broader article generalised. Parul University’s Lakshya 2047 Centre, inaugurated by Union Minister Dr. Jitendra Singh on 8 May 2026, houses both the ABB IRB 2600 industrial robot (for heavy-duty industrial automation demonstrations) and the ABB IRB 1090 Co-Bot Education Model released in September 2023 (for hands-on collaborative robotics training). Each machine serves distinct educational and operational purposes, and the combined two-machine architecture is what gives the lab its operational breadth.

The IRB 2600 is the heavy-duty industrial demonstration of the ABB Robotics installation inside Lakshya 2047. It represents the kind of robotic system that actual production environments deploy at scale.

• Operational positioning. The ABB IRB 2600 industrial robot model is worldwide acclaimed in relation to industrial automation and manufacturing purposes. The robotic arm controls movement, positioning, pick-and-place operations, and automated material handling at the scale that production lines actually run.
• Technology stack. Robotic machine control panel, robotic arm control remote, and Robotics Studio (an advanced simulation program from ABB). Robotics Studio allows students to visualise robotic operation before performing it physically, which detects possible mistakes and prevents operational failures during demonstration runs.
• Educational role. The IRB 2600 demonstrates internationally adopted industrial systems. Students engaging with the machine gain exposure to the global manufacturing reality. The machine is famous for being swift, versatile, accurate, and industrially efficient, with these characteristics being directly observable during demonstrations.
• Integrated workflow demonstrations. The IRB 2600 connects with the broader laboratory infrastructure, including CNC programming systems, programmable logic controllers, industrial sensors, artificial intelligence manufacturing applications, and smart manufacturing engineering. Real industrial automation conditions can be simulated where students experience actual production-equivalent activities.
• Industry 4.0 demonstration capability. The lab showcases ABB technologies in forming intelligent factories, intelligent manufacturing engineering, and AI-based manufacturing systems in industry today. The IRB 2600 is the operational anchor for these demonstrations.

The IRB 1090 is a fundamentally different machine from the IRB 2600. It is an education-grade collaborative robot, released in September 2023, designed specifically for hands-on student programming with multiple distinct learning stations.

• Release date and currency. The ABB IRB 1090 Education Model was released in September 2023, which is operationally significant because it means the lab uses current-generation collaborative robotics technology. The release date is a recency signal that distinguishes Lakshya 2047 from facilities using older robotic equipment.
• Co-Bot operational design. The IRB 1090 is a co-bot, meaning a collaborative robot designed to work alongside humans rather than behind safety enclosures. Traditional industrial robots can be dangerous and must be kept away from people. The co-bot design enables safe human-robot collaboration in manufacturing operations, which is one of the directions modern factories are moving.
• Physical specifications. White-painted robotic arm (consistent with factory machinery colour conventions), flexible motion across multiple axes, controller behind the robot (functioning as the brain), teach pendant interface like a special tablet with sticks and buttons that students use to move the robot and teach it operational tasks.
• Programming interface. RAPID programming language (ABB-proprietary, designed specifically for the motion control, sensor integration, and factory coordination work that industrial robots perform). Students write RAPID programs that tell the robot where to pick up workpieces, where to put them, and how to coordinate with the broader workspace.

The IRB 1090 is structured around five separate practice stations inside its workspace. Each station teaches one specific skill at a time, which is the educational design distinguishing the IRB 1090 from the IRB 2600.

• Station 1: Camera and colored blocks. A station with a camera and lots of blocks in different colours and shapes, including red blocks, blue blocks, yellow blocks, and blocks shaped like cylinders and triangles. The vision system allows the robot to identify objects by colour and shape, which trains students in AI Vision Precision Detection for industrial sorting applications.
• Station 2: Pick-and-place stack station. A station where the robot learns to pick up and stack blocks. This is the foundational pick-and-place training that all industrial robotics work builds on, but designed at education scale where students can iterate through programs quickly without production-line risk.
• Station 3: Peg-and-hole assembly station. A station where the robot learns to put parts together using pegs and holes. This is the assembly application that requires precision motion control and sensor feedback, training students in the kind of operations that real product assembly uses.
• Station 4: Drawing pad with pen holder. A pad where the robot can draw shapes and a special holder for the pen. The drawing application teaches path-and-arc programming, which is the underlying principle for robotic welding and robotic painting in production environments. If the drawing is not smooth, students know they need to fix their code, providing immediate visual feedback on program quality.
• Station 5: Wavy track for surface tracking. A block with a wavy track on it that helps the robot learn how to move steadily over a complicated surface. This is the kind of contour-following motion control used in robotic painting, robotic deburring, and any application where the robot needs to follow a non-flat surface accurately.

Everything is set up so students can practice one thing at a time. The single-skill-per-station design is what makes the IRB 1090 fundamentally a teaching tool rather than a production demonstration. The ABB Lab article treats the broader pedagogical framework; this article supplements that treatment with the station-specific detail.

One of the most important educational concepts the IRB 1090 teaches is the Tool Centre Point (TCP). When a tool is added to the robot’s arm (a gripper, a welding torch, a paint nozzle, a pen for drawing), the robot needs to know exactly where the working end of the tool is in three-dimensional space. The TCP is in this calibrated position. Without accurate TCP calibration, the robot’s motion is offset from where the student intends, producing inaccurate welds, misplaced parts, or sloppy drawings.

• How students learn TCP calibration. Using a block as a reference point, students teach the robot how to move smoothly while maintaining the correct TCP. The drawing pen and station provide immediate visual feedback: smooth drawings mean correct TCP calibration, jerky or inaccurate drawings mean the TCP needs adjustment.
• Why TCP matters in production. Every production robotic application depends on accurate TCP calibration. Welding robots need to know exactly where the weld tip is. Painting robots need to know where the spray nozzle is. Assembly robots need to know where the gripper fingers are. The TCP discipline transfers from the IRB 1090 education station to every production robotic environment students will encounter.

The IRB 1090 station with camera and coloured blocks demonstrates AI Vision Precision Detection. The robot can see objects, identify them by colour and shape, and make decisions based on what it sees. This capability is the foundation for industrial vision applications across multiple sectors.

• Sorting applications. Recycling plants use AI vision to sort waste streams by material type. The colour-and-shape detection on the IRB 1090 directly demonstrates this principle. Students who understand the principle can engage industrial sorting applications when they enter production environments.
• Food packaging applications. Food production lines use vision systems to identify products, check for defects, and direct packaging operations. The same colour-and-shape detection principle applies, scaled to production volumes.
• Quality control applications. Manufacturing quality control increasingly uses AI vision to identify defects too small or fast-moving for human inspection. The vision station on the IRB 1090 introduces students to this workflow.
• Cross-lab integration with NVIDIA. For students working on more advanced AI vision applications, the connection to the NVIDIA Lab’s CUDA and Tensor RT GPU computing infrastructure enables training the vision models that the IRB 1090 deploys at the education scale.

The IRB 1090’s motors use a feedback system. The system continuously checks whether the robot is in the position it should be. If not, the motor corrects the position. Understanding this feedback principle is foundational for anyone working with industrial robots.

The feedback system is what makes industrial robots accurate over millions of cycles in production environments. The same principle scales from the IRB 1090’s education stations through the IRB 2600’s industrial demonstrations to the full-scale automotive welding robots in actual production plants. Students who internalise the feedback principle on the IRB 1090 carry it forward to every robotic application they will encounter professionally. The pairing with the PLC and SCADA Lab and the Industrial Drives and Control Lab provides the broader industrial control context that motor feedback systems operate inside.

Most university robotics labs have either a small education-grade robot OR a large industrial demonstration. Lakshya 2047 has both. The combination is what makes the lab’s training distinctive.

• Education-grade for hands-on programming. The IRB 1090 lets students program physically rather than just simulating. Students can write RAPID programs, deploy them to the robot, watch the robot execute the programs, and iterate on programs based on observed behaviour. This hands-on cycle is what develops programming competence.
• Industrial-grade for production reality. The IRB 2600 demonstrates the scale and capability of actual production robotic systems. Students understand what industrial robotics looks like in deployment, which is different from the education-scale work the IRB 1090 supports.
• Combined exposure. Students who engage both machines develop both layers of competence: hands-on programming on the IRB 1090 and industrial-scale comprehension on the IRB 2600. Most university robotics graduates have only one of these layers. Lakshya 2047 graduates can have both.
• Atmanirbhar Bharat operational example. The investment in both an industrial-scale IRB 2600 and a current-generation IRB 1090 Education Model (September 2023 release) signals institutional commitment to indigenous workforce capacity in industrial robotics. This is the kind of capability development that supports the broader Atmanirbhar Bharat vision.
• Career pathway breadth. Graduates with two-machine exposure are positioned for both education-track careers (industrial robotics training, education-grade robotic system support) and production-track careers (production robotic operations, industrial automation engineering, manufacturing systems engineering).

• Industrial Robotics Engineer. The foundational role, with both education-scale RAPID programming experience and industrial-scale comprehension. Graduates target ABB India operations, automobile manufacturers using ABB robots, electronics assembly operations, and the broader Indian manufacturing sector with substantial ABB deployment.
• Co-Bot Specialist. Specialised role focused on collaborative robotics for human-robot shared workspaces. Demand is expanding as more manufacturing operations adopt co-bot architectures rather than fully enclosed traditional industrial robots. The IRB 1090 training is directly applicable.
• Robotic Vision Specialist. Specialised role focused on the AI Vision Precision Detection layer of robotic systems. The IRB 1090’s vision station, combined with broader AI training, positions graduates for vision-system engineering roles at robotic system integrators and manufacturing technology firms.
• Robotic Welding or Painting Specialist. Production specialisations where the path-and-arc programming principles from the IRB 1090’s drawing station transfer directly. These specialisations command premium positions because the work requires both technical robotic competence and substantial production experience.
• Industrial Automation Trainer. ABB and other industrial robotics vendors hire trained engineers to support and train customers on their robotic systems. The combined two-machine experience is particularly valuable for trainer roles because it covers both the education-grade and production-grade work that customers need to learn.