Robotics

Robotics
NASA / Dominic Hart · Public domain · source
Name	Robotics
Classification	Technology
Invented	Ancient to modern developments
Innovators	Leonardo da Vinci, Karel Čapek, George Devol, Joseph Engelberger, Isaac Asimov
Industries	Industrial Revolution, Automotive industry, Aerospace industry, Healthcare industry, Defense industry

Robotics is the interdisciplinary field focused on the design, construction, operation, and application of machines that can perform tasks autonomously or semi-autonomously. It synthesizes advances from engineering, computer science, and applied mathematics with influences from art and industry to create systems used in manufacturing, exploration, medicine, and entertainment. Research and commercialization trace influences from early automata to modern research institutions and multinational corporations.

History

The history of robotics encompasses milestones from ancient automata referenced in Hellenistic period engineering and the mechanical inventions of Leonardo da Vinci to industrial automation driven by the Industrial Revolution and the emergence of programmable machines such as developments linked to Konrad Zuse and electromechanical automatons. The term "robot" was popularized by the play associated with Karel Čapek and literary visions from Isaac Asimov influenced later research ethics and standards at institutions like IEEE and companies such as Unimation founded by George Devol and Joseph Engelberger. Cold War-era projects at organizations including NASA and DARPA accelerated robotics for space exploration and defense, while post‑1990s growth in microprocessors and sensors from firms like Intel and Texas Instruments enabled consumer and medical robotic systems.

Design and Components

Robotic design integrates mechanical structures, actuation, power systems, sensors, and computational units developed by firms and labs such as Boston Dynamics, Honda Research Institute, ETH Zurich, and MIT. Mechanical linkages trace heritage to mechanisms used by James Watt and contemporary prosthetics informed by research at Johns Hopkins University Applied Physics Laboratory. Actuators involve technologies from companies like Siemens and Bosch and energy storage relies on batteries from firms including Panasonic and Samsung SDI. Control hardware often employs processors from ARM Holdings or microcontrollers used in projects at Arduino and Raspberry Pi Foundation, while software frameworks developed by entities like OpenAI, Google DeepMind, and the Robot Operating System consortium handle planning and coordination.

Types and Applications

Robots appear as industrial manipulators used by manufacturers such as Toyota and General Motors, service robots in facilities managed by organizations like Hilton and Marriott International, and mobile platforms for agencies including NASA and European Space Agency. Medical robotics includes systems by Intuitive Surgical and research at Cleveland Clinic; agricultural robots are deployed by startups and firms such as John Deere; and logistics robots are operated by companies like Amazon (company) and Alibaba Group. Research platforms range from humanoids by Honda and SoftBank Robotics to swarm systems studied at University of Pennsylvania and field robots used in projects by Norwegian University of Science and Technology and CSIRO.

Control and Autonomy

Control theory in robotics builds on results from pioneers and institutions including Norbert Wiener and MIT, applying classical and modern control, model predictive control, and reinforcement learning advanced by researchers at DeepMind and Stanford University. Autonomy levels are categorized in frameworks used by groups such as SAE International for automated vehicles, while standardization and safety are influenced by ISO committees and regulatory bodies like European Commission. Architectures range from behavior-based systems inspired by Rodney Brooks to hybrid deliberative/reactive designs used in projects at Carnegie Mellon University and corporate labs at Microsoft Research.

Perception and Sensing

Perception systems combine vision, lidar, radar, tactile sensing, and proprioception using sensors sourced from companies like Velodyne, NVIDIA, Bosch, and research contributions from University of Oxford and University of California, Berkeley. Computer vision and sensor fusion are fields advanced by groups at Facebook AI Research, Google Research, and labs such as ETH Zurich, employing convolutional neural networks, simultaneous localization and mapping techniques pioneered by teams at Oxford Robotics Institute and algorithms originating in work at University of Michigan.

Human–Robot Interaction

Human–robot interaction (HRI) draws on cognitive science and design research from institutions like MIT Media Lab, Stanford HCI Group, and universities such as Carnegie Mellon University. Applications include collaborative robots ("cobots") developed by firms like Universal Robots for factory floors at companies such as Siemens, social robots from SoftBank Robotics used in hospitality, and telepresence systems employed by organizations like Kaiser Permanente. Standards and best practices involve contributions from ACM SIGCHI and ergonomics research at University of Illinois Urbana-Champaign.

Ethical, Legal, and Social Issues

Ethical, legal, and social implications engage scholars and policy actors at institutions like Harvard University, Oxford University, and policy groups including Electronic Frontier Foundation and Center for a New American Security. Debates cover liability frameworks considered by European Commission regulators, data protection intersecting with laws such as General Data Protection Regulation enacted by the European Union, and workforce impacts studied by International Labour Organization. Safety, bias, and accountability are topics addressed by interdisciplinary initiatives at IEEE and advisory bodies convened by governments including United States agencies and multilateral organizations like the United Nations.

Category:Technology