Head-up displays (HUDs), as one kind of the augmented reality (AR) applications, enable users to enhance the situational awareness. In this paper, we propose a design of a HUD employing the freeform off-axis four-mirror construction, in which the eyebox and eye relief as large as 120 m m × 80 m m and 400 mm, respectively, are derived. In the part of system design, the biocular parallax is evaluated and corrected. An optimization strategy in forward ray-tracing mode is presented to directly govern the biocular parallax, and the convergence, divergence, and dipvergence are finally constrained within 3.5 mrad, 1.5 mrad, and 2.0 mrad, respectively. An overall design procedure of a HUD, including initial configuration, structure constraints, optimization method, and parallax correction, is illustrated in detail. After analyzing the tolerance, a proof-of-concept prototype with the field of 24 ∘ × 15 ∘ is developed to demonstrate the image quality.

Soft anthropomorphic robotic grippers are attractive because of their inherent compliance, allowing them to adapt to the shape of grasped objects and the overload protection needed for safe human–robot interaction or gripping delicate objects with sophisticated control. The anthropomorphic design allows the gripper to benefit from the biological evolution of the human hand to create a multi-functional robotic end effector. Entirely soft grippers could be more efficient because they yield under high loads. A trending solution is a hybrid gripper combining soft and rigid elements. This work describes a prototype of an anthropomorphic, underactuated five-finger gripper with a direct pneumatic drive from soft bending actuators and an integrated resistive tactile sensor array. It is a hybrid construction with soft robotic structures and rigid skeletal elements, which reinforce the body, focus the direction of the actuator’s movement, and make the finger joints follow the forward kinematics. The hand is equipped with a resistive tactile dielectric elastomer sensor array that directly triggers the hand’s actuation in the sense of reflexes. The hand can execute precision grips with two and three fingers, as well as lateral grip and strong grip types. The softness of the actuation allows the finger to adapt to the shape of the objects.

This paper presents a soft gripper system in which actuation, sensing, and signal processing are all realized using soft dielectric elastomer (DE) devices. The platform integrates three functional units: a multilayer dielectric elastomer actuator (DEA) module that drives a compliant two-finger gripper, two tactile sensors mounted on the fingertips for contact detection and coarse shape recognition, and a dielectric elastomer switch (DES) that enables soft electronics control. The DEA module consists of eight parallel multilayer actuators, each comprising four active layers and a nonlinear biasing spring to amplify stroke, and is powered by an embedded high-voltage supply operated at 3 kV. The DES operates by mechanically modulating the resistance of a stretchable piezoresistive electrode, providing reliable switching behavior under high voltage. Grasping tests demonstrate that the system achieves a maximum opening angle of 38$^{\circ }$ and can safely manipulate delicate objects, including cherries and eggs, without damage. These results demonstrate the feasibility of advancing toward fully soft robotic systems by integrating DE-based components for actuation, sensing, and signal processing.