Combines noncontact and contact sensor inputs to resolve partial occlusion during robot hand grasping, ensuring accurate position-orientation measurement.
A ball joint uses parallel springs to compress the ball member against the socket, ensuring solid contact.
Coaxial direct drive motors eliminate gear mismatches that cause vibrations, enabling high positioning speeds and expanded handling areas.
A force-controlled pushing device adjusts tool position and contact force in real time during robot movement.
A robot upper half body support structure uses a triangular frame to distribute loads efficiently.
Air bearings absorb impulsive loads on large substrates, preventing damage to traveling ways.
A motor control device manages rotational speed and torque instruction signals using a limit value setting unit to constrain output.
Correcting landing impact forces via a natural attenuation function minimizes structural deformation and stabilizes the gait during ground contact.
A semi-active robotic joint uses a locking mechanism to provide resistance during flexion and free motion during extension.
Segmenting floor points and clustering obstacles without KD tree graphs accelerates processing speed while maintaining measurement precision.
A diagnostic device applies preload to a link actuation mechanism and measures drive torque to identify component wear patterns.
A simulation device arranges component models in virtual space and generates symmetric counterparts using reference geometry.
Distributed controllers process local sensor data directly, eliminating central polling bottlenecks that slow signal sampling speed.
Point cloud processing calculates normal vectors to determine the precise position of curved articles, eliminating manual assessment risks.
A dual-link arm robot extends and retracts synchronously with a linear transport along a straight path to move substrates between process chambers.
A bipedal robot control method computes optimal footholds using nonlinear optimization to generate desired joint trajectories.
Segmenting internal cardan shafts into two separate units reduces mass and complexity while maintaining sufficient rotation angles.
Piezoelectric actuators in body and legs enable full-body motion, allowing the robot to navigate narrow passages while maintaining structural integrity.
Magnetometers track joint position while servos adjust friction, replacing manual adjustments that cause time loss during movement.
Stencil moldings pre-shape a jamming gripper, reducing the pressure needed to grasp fragile objects and lowering power consumption.
Pivotable support slots allow simultaneous robotic operations on diverse components, resolving workstation flexibility and footprint constraints.
A suction device transfers semiconductor elements to a temporary storage platform equipped with optical detectors for precise positioning.
A data collection system selects target data with low confidence levels using domain adversarial neural networks to calculate usefulness scores.
A jig uses a verification aperture to teach substrate transfer positions in semiconductor processing systems.
A wire-driven assistance apparatus applies tension to knee belts to rotate user legs during specific gait phases.
Distinct rotation axes and length ratios resolve interference between overlapping arm sections.
A design support device calculates continuous work numbers and arrangement freedom indices to identify robot-suitable tasks.
An exoskeleton balances front loads using a shifting counterweight, resolving unequal weight distribution issues while amplifying human power.
A handling system reinitializes after a disruption to continue piece goods transport.
A printing robot tracks encoder patterns on 3D surfaces using inertial data for precise head positioning.
Automated functional testing system uses segmented stations and programmable robots to increase throughput while managing complexity.
Segmented modules with servo motors enable interactive movement while an adjustable center of mass resolves assembly complexity.
A fusion prediction equation derives measurement coordinates for a Koopman model to enable precise soft robot motion.
A conveying device uses a pneumatic suction nozzle to hold and lift rods vertically for precise placement.
Angled tubular pieces connect via specialized elements to balance structural stiffness with lightweight design for rehabilitation devices.
A surgical support structure uses adhesive or suction to secure a frame, reducing manual maneuvering difficulty and improving positioning accuracy.
A telescopic cover allows easy replacement of ball screws or linear guides while suppressing contamination entry into the housing.
Adjustable rotating elements and roto-translation constraints minimize parasitic forces on bone segments during rehabilitation.
Automated vibration inspection system detects vehicle assembly quality using sensor detachable robots and signal analysis.
A reconfigurable end-effector assembly uses a swing lock and branch rail system to automatically adjust tool configurations.
Segmenting the controller into a dispatcher and executor reduces training data requirements while enabling zero-shot learning capabilities.
A robot base assembly uses a sliding support member and clamp to mechanically locate a robotic arm relative to a work piece.
Motion recognition algorithms interpret spatial-temporal parameters to prevent hazardous situations in industrial environments.
A robot manipulation method derives control policies by combining virtual simulation outputs with real-world sensor data.
Imaging feedback directs an automated robot platform to move and adjust a surface height and angle, eliminating manual stepping stool adjustments.
A robot system deforms basic operations based on measured article shapes to enable flexible manipulation without extensive pre-registration.
Elongate robotic arm uses central channel stiffening member with embedded optical fibre sensor to measure shape accurately.
Multi-segment social robot with independent rotational axes enables complex emotive gestures through modular body construction.
Neural network model transforms forward kinematics solving into inverse kinematics processing to reduce computational complexity and enable real-time control.