
Over the previous many years, roboticists have launched a variety of methods with distinct physique constructions and ranging capabilities. Because the variety of developed robots constantly grows, having the ability to simply study these many methods, their distinctive traits, variations and performance on particular duties may show extremely useful.
Researchers at Technical College of Munich (TUM) lately created the “Tree of Robots,” a brand new encyclopedia that might make studying about present robotic methods and evaluating them considerably simpler. Their robotic encyclopedia, launched in a paper printed in Nature Machine Intelligence, categorizes robots based on their performance health on varied duties.
“The aspiration for clever robots that may perceive their atmosphere as we people do, and execute duties independently, has existed for ages,” Robin Jeanne Kirschner, first writer of the paper, advised Tech Xplore.
“The lively growth of tactile robots—robots able to understanding their environment via the feeling of contact—started roughly 20 years in the past. This journey began with the creation of light-weight methods outfitted with torque sensors in each joint. Since then, we’ve got witnessed improved know-how, higher controllers, and new response schemes, which have enabled the event of methods proficient in executing duties and perceiving the atmosphere via contact.”
Most requirements and approaches for classifying robots launched so far don’t account for the flexibility of methods to adapt to their environment and efficiently work together with close by objects by touching them. This important functionality influences each the protection of robots and their performance on particular duties, spanning varied real-world functions.
“The main focus of system classification stays separated based on, e.g., particular person mechanical properties, new controller options, and certifications stays based solely on the mechanical construction of sensing methods as a substitute of their precise performance,” stated Kirschner. “This slim strategy typically overlooks the interaction of parts and the core goal of a robotic gadget: to help in executing duties, which calls for particular capabilities.”
To beat the restrictions of present robotic classification strategies, Kirschner and her colleagues began testing varied present methods, focusing on options that affect their security, comparable to their means to detect contact with different objects. Concurrently, in addition they performed an in-depth evaluation of robotics duties, deriving a number of metrics that point out the capabilities of robots past security, as an example, impacting their means to efficiently execute tactile duties and comfortably work together with people.
“By testing a number of robotic manipulators, we have been then in a position to derive all these metrics and present that the tactility health of those methods considerably varies, calling for a correct classification and encyclopedia—the Tree of Robots,” stated Kirschner.

“In consequence, we established the AI Robotic Performance and Security Heart—a devoted laboratory outfitted with superior measurement gadgets to judge robotic performance. With these sources, we intention to additional develop the ‘Tree of Robotic,’ a vital encyclopedia for the sphere of robotics.”
The Tree of Robots encyclopedia is supposed to be constantly up to date over time, in the end serving as a Wikipedia-like platform that incorporates details about robots and their capabilities. It features a extensive pool of data starting from the robots’ elementary physique constructions to the motors and/or sensors they rely on and their ensuing capabilities, particularly the sensitivity and reliability of their bodily interactions (i.e., tactility health) and precision of their actions (i.e., movement health).
“Whereas we started with analyzing and classifying present stationary manipulators utilizing health metrics we outlined particularly based on for industrial functions, the encyclopedia should develop to embody different robotic methods for service duties, comparable to humanoids or cell robots,” defined Kirschner. “Its goal is to effectively information each {hardware} and software program growth in robotics.”
In distinction with many beforehand devised robotic categorization approaches, the Tree of Robots encyclopedia clearly outlines the specialised capabilities of various robots. As well as, it teams robots into three most important teams based on their tactility health, which signifies the extent to which they’re appropriate for finishing particular duties.

“This elementary perception ought to be built-in into software design, standardization efforts, and future robotics growth,” stated Kirschner. “By aligning {hardware} and software program parts to attain optimum performance for a given course of—reasonably than designing processes to suit the system’s constraints—we will advance robotics to new ranges of effectivity and effectiveness.”
The brand new encyclopedia developed by Kirschner and her colleagues may inform future analysis, as an example, by serving to different pc scientists and roboticists to establish the most effective methods to check their algorithms. In the meantime, the researchers plan to proceed including info to the Tree of Robots, together with different robotic methods and different related metrics.
“We are actually increasing our work in a number of instructions,” added Kirschner. “My focus is on linking these essential findings to make sure human security in collaborations, emphasizing a robotic’s tactile capabilities. The purpose is to attain certifiably secure functions with tactile robotic methods. Alongside different groups, we’re additionally exploring methods to lengthen the tree of robots in different areas, comparable to methods designed for service and care duties and together with, e.g., humanoid methods.”
Extra info:
Robin Jeanne Kirschner et al, Categorizing robots by performance health into the tree of robots, Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-00995-y.
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