Tebis has released version 4.1 Release 11 of its CAD/CAM software, adding functionality for robotic machining, process reliability, large data handling, and laser collision avoidance.
The update includes faster tool search, advanced checks for robotic machining, expanded simulation of movements, flexible positioning for robot and additional axes, and automatic collision avoidance for laser cutting and laser cladding. The release is built around safer generation of NC programmes and closer alignment between virtual manufacturing and machine behaviour.
Robot-specific conflicts can now be detected earlier during toolpath calculation. The software identifies singularities, limit switch positions, reachability problems, configuration changes, and difficult positioning areas before the process reaches the machine. Conflicts are shown visually in the model and can be resolved through an interactive interface.
Simulation has also been expanded beyond the programmed toolpath. Release 11 checks connecting and positioning movements, along with tool changes, so the virtual manufacturing environment reflects more of the real machine process. That wider check is particularly useful in robotic machining, where multi-axis motion, fixture access, tool positioning, and additional axes can create complex movement envelopes.
The update adds flexible options for positioning and combining tool axes, robot positions, and additional axes. New algorithms are intended to create smoother movement and support faster generation of collision-free NC programmes for robots. For laser processes, automatic collision avoidance now accounts for the machine head and marks critical positions in the CAD model if no safe alternative path can be found.
Performance improvements include ultra-fast tool search for large tool databases. Search and loading times have been reduced across libraries, NCJobs, variables, and geometry data, which supports users working with extensive tooling records, complex part data, and large project structures.
Manufacturers are pushing automation into processes that are less predictable than simple repetitive handling. Robotic machining, trimming, laser cutting, repair, composite work, and cladding can involve large components, flexible fixtures, complex reach envelopes, and processes where tool orientation is critical. Offline programming and simulation have to carry more engineering work before a robot or machine begins production.
Earlier conflict detection reduces the chance of programming errors becoming shopfloor downtime. Discovering a singularity, limit issue, or collision risk late in the process wastes programming time and can disrupt schedules. Discovering it at the machine can damage tooling, fixtures, parts, or the robot itself.
Robotic machining has become attractive because it can provide large working envelopes and flexible deployment at lower capital cost than some dedicated machine tools. The trade-off is mechanical behaviour. Robots differ from machine tools in stiffness, reach, axis limits, vibration, singularities, and positioning accuracy. Software that reflects those constraints can determine whether a robot cell becomes productive or remains a technically interesting but fragile installation.
The update also reflects a wider shift away from informal process knowledge towards structured digital workflows. Factory adoption of AI and digital tools continues to expose gaps in practical skills and implementation capability, a challenge already visible in warnings around the skills needed to turn factory AI into productivity gains. CAD/CAM systems increasingly act as repositories of validated process knowledge through tool libraries, templates, simulation routines, and collision rules.
Laser collision avoidance adds another layer to that digital process chain. Laser cutting and cladding can be sensitive to head orientation, access, standoff, and surrounding geometry. Automatic avoidance can reduce manual programming effort while making critical areas visible in the model, giving engineers a clearer basis for intervention where automatic routing cannot solve every constraint.
Tool search may appear less prominent than robotic simulation, but it affects programming quality and consistency. Large tool libraries can become difficult to manage as manufacturers standardise data, connect external tool systems, and build more complex NCJob structures. Faster search reduces the temptation to select a suboptimal tool simply because the correct option is hard to locate.
Tebis 4.1 Release 11 strengthens the link between planning and production. Better simulation, earlier conflict detection, and structured tool data can help manufacturers use robots and lasers with greater confidence, especially where large components, variable jobs, and complex motion make manual checking less sustainable.
