How a heavy duty specialty tyre plant in Tirunelveli moved its mixing-to-curing material flow off forklifts and hand-pushed trolleys, and what it had to prepare to get there.
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Summary
A heavy duty specialty tyre manufacturer running a 460,000 m² plant in Tirunelveli, Tamil Nadu replaced forklift trips and hand-pushed trolleys on its mixing-to-curing material flow with 24 Virya autonomous mobile robots. A pilot ran in 6 weeks and the full fleet was in place in 18 weeks, with production continuing throughout. Virya projects 98.7% fleet uptime, material movement falling from 15 to 22 people per shift to 4 fleet supervisors, and material arriving on call rather than 18 to 34 minutes after the line asked for it (Projected, Aug 2026).
| Sector | Heavy duty specialty tyre manufacturing |
|---|---|
| Plant | 460,000 m², Tirunelveli, Tamil Nadu, India |
| Routes automated | Compound slab transport, cure line feeding, QC transfer |
| Fleet | 24 robots: 15 AMR 50 autonomous tow tractors (5,000 kg tow) + 9 AMR 10 compact tuggers (1,000 kg tow) |
| Prior method | Forklifts for slab movement, hand-pushed trolleys into the press bays |
| Control | Virya fleet management system on a plant server, one-way feed from the plant's MES |
| Deployment | Pilot 6 weeks, full fleet 18 weeks |
| Fleet uptime | 98.7% (Projected) |
| Status | Validated |
Tyre curing applies heat and pressure to green rubber, so the presses run hot and vent through the cycle. Manual compound handling beside them puts a person in that aisle on every trip, and the number of trips per shift is the number of exposures per shift.
The route also ran two ways at once. Forklifts moved compound slabs from mixing toward the cure hall, and forklift traffic in the aisles set aisle width for the whole building. Hand-pushed trolleys then covered the last leg into the press bays, because a forklift cannot place material at the cadence a cure line asks for. Most trips therefore involved a handover at the drop point, and the waiting happened there rather than on the move.
Four costs followed, none of them specific to this plant:
| Measure | Before | After | Basis |
|---|---|---|---|
| Fleet uptime | not tracked | 98.7% | Projected |
| People on material movement per shift | 15 to 22 | 4 fleet supervisors | Projected |
| Material arrival latency | 18 to 34 min | on call, no handover | Projected |
| Active floor space (trolley parking) | 12 to 18% | released | Projected |
| Line stoppages from material shortage | 3 to 4 per week | eliminated on this route | Projected |
| Equipment MTTR | 6.2 hours | reduced via condition data | Projected |
Every figure above is Projected, from Virya's deployment model as of August 2026, and each will be replaced with a measured value once instrumented.
Operators moved into fleet supervision. The people who ran compound trolleys moved into fleet supervision, quality control, packaging and safety roles, which is more skilled work and it is done away from the presses. The plant did not lose those people; it redeployed them.
Manual trips beside the presses stopped. The trips still happen. A robot makes them.
Aisle width is no longer set by forklift traffic. Once slab movement runs on AMRs, the aisle only has to fit the AMR.
Every trolley is tracked from pickup to drop. Each one is scanned at pickup and tracked to the drop, so work in progress has a location on a screen instead of an estimate from whoever last saw it.
The parts below are platform capabilities rather than anything built for this plant, so they apply to any process with the same shape: a fixed source, a fixed destination, and a trolley in between.
Fused multi-layer perception. The AMR 50 merges 3D LiDAR, 2D LiDAR, inertial and depth-camera data into one model of the aisle rather than reasoning from a single sensor. That is what makes it an indoor-outdoor AMR in practice: the same platform runs a press aisle and an open yard leg without a change of hardware.
Autonomous docking and hitching. The robot approaches a trolley, resolves its position and orientation, and couples without a person touching it. Virya designs the trolley-side hook against the trolleys a plant already owns, so autonomous hitching works on the existing fleet rather than requiring new trolleys. Unhitching at the drop is the same operation in reverse.
Trolley-oscillation detection. A towed trolley wants to swing, and a swinging trolley either slows the fleet down or hits something. The AMR 50 monitors trailer behaviour and moderates speed and cornering to keep a towed load stable, which is what makes 5,000 kg towing usable in a working aisle rather than only in a straight line.
Custom lane engineering. Routes are laid out as bot-only, mixed, or pedestrian-shared lanes, with zone speed limits set per area rather than per robot. On this deployment that is what handles the press aisle and the shift-changeover crossing differently without writing two different robots.
AMR MES integration, deliberately shallow. The Virya fleet management system runs on a server inside the plant and takes a one-way feed from the plant's MES. Each process has a call screen; when a station needs material an operator presses it, and the fleet manager assigns the robot best placed to go by position, current load and queue. Nothing inside the plant's MES changed, which is what let the fleet go in without an IT project running alongside it.
Battery hot-swap on a 3,000-cycle pack. The standard AMR 50 pack is 48V, 240 Ah, rated 3,000 cycles and charging in about five hours at 50 A. Sites running three shifts can take a hot-swap configuration instead, which takes the charge window out of the shift plan entirely.
Site preparation is floor markings, not construction. Parking and home positions get marked, pickup and drop points are fixed per process, and gangways need width and turning room for a robot towing a load. No floor cutting, no racking change, and no line stopped for installation.
A pilot ran in 6 weeks. The full 24-robot fleet was validated and in place in 18 weeks. Production continued throughout, which is the part most plants ask about first.
High-fidelity 3D LiDAR site mapping is what makes the front of that timeline short: the plant is mapped densely at install rather than surveyed and marked out over weeks. The pilot then proves the route and the takt integration on a small number of units, which is where this kind of deployment either works or does not. The rest of the rollout is a repetition problem rather than a design problem.
Across all sites, Virya's deployed fleet has executed 1,23,502 transport tasks and covered 1,66,686 kilometres autonomously since November 2025.
Both figures are measured rather than modelled, and both are fleet-wide totals across every Virya deployment rather than this plant's numbers.
A cure line does not stop needing material because the aisle beside it is hot. The question is whether a person has to be in that aisle for the material to arrive.
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