Robot Categories

Industrial Robots

Browse robots by market, form factor, use case, and grade.

Category Guide

Industrial Robots guide, robot profiles, specs and comparisons

Robots relevant to manufacturing, inspection, logistics, production, and industrial automation.

This category page is built as a practical buying and research guide. It explains what belongs in the category, which specifications matter, how to compare robots fairly, and where the public data is still incomplete. The goal is to help a reader make a better shortlist before opening individual robot pages. If a category has limited public records today, that limitation is shown directly instead of being hidden behind filler copy.

Tracked robots36

Robots with price data36

Deployment signals12

What belongs here?

Robots are included when their public specifications, manufacturer positioning, visible hardware, and use cases match this category. Borderline robots are kept conservative until stronger source evidence supports the classification.

What does not belong?

Marketing claims alone are not enough. Robots with unclear form factor, missing manufacturer context, or unrelated automation roles should be reviewed before being treated as a leading industrial robots example.

Top robots to compare

Atlas, Walker S, Menteebot, Figure 02, AgiBot A2, Kepler Forerunner, Figure 01, Unitree H2. Start with these profiles, then compare height, payload, runtime, degrees of freedom, software access, buying status, source quality, and visible hardware.

Manufacturers represented

ABB, ANYbotics, AgiBot, Agility Robotics, Apptronik, Boston Dynamics, Figure AI, Franka Robotics, KUKA, Karlsruhe Institute of Technology. Manufacturer maturity matters because support, warranty, documentation, and deployment programs can matter as much as raw specifications.

Industrial Robots comparison table

This table is intentionally concise. Open each robot profile for full technical rows, source links, images, videos, and notes about missing or uncertain fields.

Spec	Atlas	Walker S	Menteebot	Figure 02	AgiBot A2	Kepler Forerunner	Figure 01	Unitree H2	HRP-5P	Apollo
Availability	prototype	piloting	announced	piloting	announced	announced	piloting	announced	research platform	enterprise pilots
Price	Price not verified	Enterprise pricing not publicly listed	Commercial/enterprise pricing not publicly listed	Enterprise/customer pilots; no public MSRP	USD 100,000-190,000 reported configuration range	No public MSRP found	Prototype/enterprise pilot; not publicly sold	$29,900	Not sold commercially	Enterprise quote only; no public MSRP
Height	1.9 m	170 cm (1700 mm)	175 cm (1750 mm)	1700 mm	175 cm (1750 mm)	178 cm (1780 mm) reported; duplicate row had unit typo as 178 mm	168 cm (1680 mm)	1800 mm	182 cm (1820 mm)	5 ft 8 in (1727 mm)
Weight	90 kg	77 kg	70 kg	70 kg	55 kg	85 kg	60 kg	70 kg	101 kg	160 lb (72.6 kg)
Payload	Not verified	10 kg reported; 3 kg in alternate listing	25 kg	25 kg	15 kg per arm	25 kg	20 kg	Not verified	Can handle gypsum boards approx. 11 kg or plywood panels...	55 lb (25 kg)
Runtime	4 hours	~2 hours	4-5 hours	5 hours	2 hours	8 hours reported	5 hours	Not verified	Not verified	4 hours per battery pack
DOF	56	41	40	35	49+	40	16	31	37	Not verified

Buying and research considerations

Availability

Check whether a robot is actually sold, limited to pilots, enterprise quote-only, announced, discontinued, or still a research platform. Availability is often the first filter that removes unrealistic choices.

Specs that matter

Height, weight, payload, runtime, DOF, hand design, sensor package, walking speed, SDK access, and safety documentation are the fields that most often change whether a robot can do the job.

Limitations

Many robots have incomplete price, battery, autonomy, or safety data. Missing fields should be treated as uncertainty, especially for procurement, research budgeting, or public comparison claims.

Future outlook

Industrial Robots are moving from demos toward pilots and early deployments, but useful adoption will depend on reliability, support, affordability, software ecosystem, and clear documentation.

How Firgelli Robots assigns categories

Robot categories are assigned from the robot's public form factor, intended use case, manufacturer positioning, and available source evidence. A humanoid robot, for example, is not categorized only because it has a human-shaped shell; the profile should also show relevant mobility, manipulation, sensing, software, and deployment context. A warehouse robot should show a logistics, fulfillment, inventory, or material-handling role. A research robot should have a university, lab, developer, education, or experimental platform context.

Some robots legitimately belong to more than one category. A humanoid platform may be both a research robot and an enterprise robot. A service robot may also be consumer-facing. In those cases, the individual robot page is the better place to review the full evidence because the category page is only a starting point. If the available evidence is weak, the page keeps the uncertainty visible instead of treating the category label as a final conclusion.

For SEO and buyer research, category pages should help readers compare real options, understand what data is missing, and move into deeper robot profiles. The strongest category pages combine definitions, comparison tables, source-backed robots, related manufacturers, buying cautions, and links to specification guides such as robot price, payload, runtime, walking speed, and degrees of freedom.

Industrial Robots robot profiles

Atlas

Electric humanoid robot platform from Boston Dynamics