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Overview of humanoid robotics and soft robotics development

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Humanoid and soft robotics are progressing through advanced embodied artificial intelligence, accessible open-source designs, and biomimetic structural adaptability. Modern humanoids integrate physical intelligence models and modular actuators for diverse tasks ranging from warehouse manipulation to social interaction. Simultaneously, soft robotics research focuses on variable stiffness mechanisms and sensorized elastic skins that expand safe physical interaction.

Key facts

  • Wheeled humanoid platforms such as the Mercury X1 operate with dual NVIDIA Jetson controllers, lidar, ultrasonic sensors, and an eight-hour battery lifespan [1].
  • The dual-arm semi-humanoid Mercury B1 features 17 degrees of freedom, dual robotic arms, a 9-inch touchscreen, an NVIDIA Xavier chip, and an integrated 3D camera [2].
  • Simulation platforms such as NVIDIA Isaac Sim facilitate sim2real learning to bridge virtual environments with physical robot interaction [3].
  • Open-source platforms like Berkeley Humanoid Lite keep hardware costs under $5,000 by utilizing standard 3D-printed parts and e-commerce components [4][5][6].
  • Berkeley Humanoid Lite stands roughly 1 meter tall, weighs approximately 16 kg, and employs cycloidal gear actuators to reduce stress and wear [7][8].
  • Soft-bodied systems face fundamental actuation control challenges, historically relying on pneumatic chambers or vacuum-sealed coffee grounds [9][10].
  • Researchers have demonstrated cable-driven soft robots that achieve variable stiffness on demand by using antagonist counterbalancing forces inspired by human muscles [11][12][13][14].
  • Yale roboticists engineered elastic robotic skins with embedded sensors and actuators to control soft deformable objects from their surface [15].
  • Industrial humanoid robots engineered for heavy lifting allocate 40% to 60% of overall hardware expenses to actuator systems [16].

Humanoid Robotics Platforms and Actuation

Embodied Artificial Intelligence and Commercial Hardware

Embodied artificial intelligence research utilizes simulation platforms to bridge the gap between virtual environments and physical robot interaction [3]. The Mercury X1 wheeled humanoid integrates dual NVIDIA Jetson controllers, lidar, and ultrasonic sensors alongside an 8-hour battery life to support exploratory and commercial assignments [1]. Semi-humanoid models like the Mercury B1 provide 17 degrees of freedom, dual robotic arms, a 9-inch touchscreen, an integrated 3D camera, and an NVIDIA Xavier control chip [2]. These configurations support machine vision, VR-assisted teleoperation, voice interaction, and large language model integration [17]. To connect virtual environments with physical interaction, humanoid platforms utilize simulation platforms such as NVIDIA Isaac Sim for sim2real learning [3]. Complementary teleoperation hardware such as the myArm C650 allows rapid acquisition of physical data [18]. Mass manufacturing designs also employ harmonic drive modules built with carbon fiber to offer high torque-to-weight ratios, agility, power, and durability on production lines [19][20].

Open-Source Engineering and Low-Cost Prototyping

Open-source hardware and software frameworks provide an accessible entry point into humanoid robotics while bypassing proprietary barriers [4][21]. The Berkeley Humanoid Lite demonstrates a humanoid platform built from modular 3D-printed parts and components sourced from standard e-commerce platforms [4][5]. This manufacturing approach keeps total hardware costs under $5,000 [6]. The completed robot stands roughly 1 meter tall and weighs approximately 16 kg [7]. Inside the actuators, a cycloidal gear design features large gear teeth that distribute loads across a large surface area compared to traditional gear systems to reduce stress and wear [8]. Upper-body manipulation is operated through a joystick teleoperation system, demonstrating the ability to grab and play with items such as a Rubik's Cube [22]. A reinforcement learning locomotion controller enables bipedal walking [23]. All embedded code, hardware designs, and training and deployment frameworks remain fully open source [21].

Task Specialization and Implementation Constraints

Physical intelligence models, including vision-language-action architectures and improved locomotion controllers, are converging to create a robotics super-cycle [24]. Despite these advances, humanoid robotics adoption is projected to progress unevenly across divergent use cases and geographies [25]. Different deployment roles impose distinct requirements rather than a single universal model [25][16]. For example, a warehouse robot designed to lift up to 132 pounds requires sophisticated actuators that make up 40% to 60% of its cost [16]. Security robots rely on low-latency edge-computing data processing close to their physical location to rapidly respond to environmental changes such as incursions [26]. Physical manipulation also requires task-specific mechanics, such as robotic hands that reorient objects within their grasp, vehicle grippers, and dexterous prosthetic hands for amputees [27]. Additionally, artificial intelligence and behavioral science are utilized to help interactive robots understand social dynamics, respond appropriately, and explore questions about social development [28].

Soft Robotics Mechanics and Bio-Inspired Morphologies

Variable Rigidity in Cable-Driven Systems

Soft-bodied robots offer fluidity and safety during human interaction, contrasting with rigid metallic machines [11]. Early actuation mechanisms relied on inflating balloon-like chambers or using vacuum-sealed coffee grounds to grasp objects [9]. However, driving actuators to achieve given goals remains a key unsolved control challenge in soft robotics [10]. To combine the precision and strength of rigid robots with the safety of soft ones, MIT CSAIL researchers developed a concept for a soft-bodied robot that can turn rigid on demand [11].

Inspired by human arm mechanics—where contracting the biceps and triceps simultaneously locks an arm rigidly in position—the system achieves stiffness by pulling on both sides of a structure [12]. Researchers demonstrated a method to simultaneously control the position and stiffness of a cable-driven soft robot [13]. The robot utilizes multiple cables, employing some to twist and turn the body while using others to counterbalance each other to tweak rigidity [14]. This rigidity control could enhance safety during human patient care while enabling the robot to act rigid for lifting when necessary [29].

Morphing Systems and Elastic Robotic Skins

Bio-inspired designs have led to nature-inspired shape-changing robots, including an amphibious turtle robot tested in a specialized 20,000-gallon controlled aquatic environment known as the Tech Tank [30]. Researchers also pioneered robotic skins made of flat elastic sheets embedded with sensors and actuators [15]. These skins can be wrapped around soft deformable objects to control those objects from their surface [15].

Sources

  • Elephant Robotics’ Mercury Humanoid Robot Empowers Embodied AI Research spectrum.ieee.org

    • [1]

      Equipped with dual NVIDIA Jetson controllers, lidar, ultrasonic sensors, and an 8-hour battery life, the X1 is perfect for a wide range of applications

    • [2]

      The Mercury B1 is a semi-humanoid robot tailored for sophisticated research. It features 17 degrees of freedom, dual robotic arms, a 9-inch touchscreen, a NVIDIA Xavier control chip, and an integrated 3D camera.

    • [3]

      the Mercury series’ compatibility with NVIDIA’s ISSACSIM, a state-of-the-art simulation platform that facilitates sim2real learning, bridging the gap between virtual environments and physical robot interaction.

    • [17]

      The B1 excels in machine vision and VR-assisted teleoperation, and its AI voice interaction and LLM integration mark significant advancements in human-robot communication.

    • [18]

      Furthermore, the Mercury Series is complemented by the myArm C650, a teleoperation robotic arm that enables rapid acquisition of physical data.

    • [19]

      The “Power Spring” harmonic drive modules, a hallmark of the Elephant Robotics’ commitment to innovation for mass production, have been meticulously engineered to offer an unparalleled torque-to-weight ratio.

    • [20]

      The incorporation of carbon fiber in the design of these modules not only optimizes agility and power but also ensures that the robots are well-prepared for the rigors of the production line and real-world applications.

  • Berkeley engineers develop customizable, 3D-printed robot for tech newbies - Berkeley Engineering engineering.berkeley.edu

    • [4]

      Berkeley Humanoid Lite, a low-cost, open-source robot made of 3D-printed parts.

    • [5]

      The core of Berkeley Humanoid Lite’s design is a modular 3D-printed gearbox for the actuators and robot body. All other components can be sourced from widely available e-commerce platforms or fabricated with standard desktop 3D printers.

    • [6]

      This keeps the total hardware cost under $5,000 (based on U.S. market prices), a fraction of the cost of purchasing a commercially built robot of similar scale.

    • [7]

      Once completed, Berkeley Humanoid Lite stands at about 1 meter and weighs approximately 16 kg.

    • [8]

      the researchers adopted a cycloidal gear design for the gearbox inside the actuator. “The main benefit is that the gear’s teeth are very large,” said Chi. “This distributes the load across a larger surface area than traditional gear systems, reducing stress and wear.”

    • [21]

      Berkeley Humanoid Lite’s hardware design, embedded code, and training and deployment frameworks are fully open source.

    • [22]

      To enable hand manipulation, the researchers assembled a teleoperation system for the robot. Using joystick controls, they demonstrated Berkeley Humanoid Lite’s ability to grab and play with items, including a Rubik’s Cube.

    • [23]

      The researchers also used reinforcement learning to develop a locomotion controller that enables the bipedal robot to walk.

  • Helping soft robots turn rigid on demand | MIT CSAIL www.csail.mit.edu

    • [9]

      Roboticists have experimented with myriad mechanisms to operate soft robots, including inflating balloon-like chambers in a robot’s arm or grabbing objects with vacuum-sealed coffee grounds.

    • [10]

      However, a key unsolved challenge for soft robotics is control — how to drive the robot's actuators in order to achieve a given goal.

    • [11]

      MIT CSAIL researchers have developed a concept for a soft-bodied robot that can turn rigid on demand. The approach could enable a new generation of robots that combine the strength and precision of rigid robots with the fluidity and safety of soft ones.

    • [12]

      While contracting the biceps alone can bend your elbow to a certain degree, contracting the biceps and triceps simultaneously can lock your arm rigidly in that position. Put simply, “you can get stiffness by pulling on both sides of something,” says Bern.

    • [13]

      The researchers’ paper lays out a way to simultaneously control the position and stiffness of a cable-driven soft robot.

    • [14]

      The method takes advantage of the robots’ multiple cables — using some to twist and turn the body, while using others to counterbalance each other to tweak the robot’s rigidity.

    • [29]

      Bern points to potential applications in caring for human patients, where a robot’s softness could enhance safety, while its ability to become rigid could allow for lifting when necessary.

  • Robotics for Humanity engineering.yale.edu

    • [15]

      They have also pioneered “robotic skins”–flat, skin-like robots made with elastic sheets embedded with sensors and actuators–that can be wrapped around soft deformable objects to control those objects from their surface.

    • [27]

      Our roboticists have captured the complexity of the human hand, work that has led to dexterous prosthetic hands for amputees, grippers for various vehicles, and robotic hands that can reorient objects within their grasp.

    • [28]

      they’re using artificial intelligence and behavioral science to help robots understand social dynamics, and respond appropriately. They’re also using interactive robots to explore questions about social development.

    • [30]

      Inspired by nature, Yale roboticists have created shape-changing robots, including an amphibious turtle-inspired robot that can be tested in the School's specialized Tech Tank facility — a 20,000-gallon controlled aquatic environment for developing and optimizing water-based robotics.

  • Robots Are Coming — but Not Everywhere sloanreview.mit.edu

    • [16]

      A warehouse robot, for example, may need to lift up to 132 pounds, requiring sophisticated actuators — the equivalent of human muscles — to complete its task successfully. Those actuator systems will make up 40% to 60% of its cost.

    • [24]

      Engineering advances and new powerful models of physical intelligence, including vision-language-action models and improved locomotion systems, are converging to create a robotics super-cycle.

    • [25]

      Humanoid robotics will be adopted unevenly, across diverging use cases and geographies. Leaders need to reset their strategies for a more complex, jagged path to scale.

    • [26]

      A security robot will use low-latency edge-computing data processing close to its physical location — so it can rapidly respond to environmental changes, such as an incursion by an unknown person or vehicle.