This thesis presents the development of a novel Variable Stiffness Gripper using bistable metamaterials (B-VSG) to address limitations in current actuator technologies. The primary objective was to design a lightweight VSG that can switch between different stiffness states without requiring energy to maintain them.

The design process involved optimizing metamaterials for torsional stiffness and bistability. Finite Element Analysis (FEA) and physical experiments were conducted to predict and validate the mechanical behaviour, dynamic behaviour, and stability of the gripper. The results demonstrated a significant increase in torsional stiffness between bistable states, achieving a stiffness increase of 40.2% with a change of 0.173 Nm/rad. The B-VSG showed reduced complexity and lightweight characteristics compared to existing technologies, though further optimization is needed, particularly in the actuation mechanisms and unit cell design.

In conclusion, this research successfully developed a novel, lightweight VSG using bistable metamaterials, proving the feasibility of integrating these materials into robotic actuators. Future work should focus on further improving the metamaterial, enhanced control for stiffness adjustment, and long-term performance tests in real-world conditions.

In recent years, the deployment of ground-based mobile robots has gained more and more interest in various domains. In contrast to other types of mobile robots, legged robots can traverse irregular terrains, climb stairs, and step over obstacles. However, these unique properties intensify the energy demand and require highly advanced perception methods, actuator designs, and motion control algorithms. The most significant challenges in legged robotics lie in robustness, energy efficiency, and agility.

In recent years, the integration of an articulated torso or active spine, inspired by the body motion of high-performance mammals like the cheetah, has shown promising results. Various studies observed higher maximum velocities and lower energy consumption compared to a rigid torso. However, in these studies, the compliant systems were typically controlled using basic control strategies. In recent years, the development of highly dynamic model-based motion optimization strategies has greatly enhanced the overall performance of various legged robots. Therefore, a model-based motion optimization scheme is developed specifically for articulated quadruped robots. This scheme fully exploits the additional degrees of freedom of the torso to enhance the dynamic performance of the legged robot further.