In both forward (a) and sideways (b) walking, the stance trajectory is a straight line (green) and the swing trajectory is a parabola with height Hs = 6 cm.

In both forward (a) and sideways (b) walking, the stance trajectory is a straight line (green) and the swing trajectory is a parabola with height Hs = 6 cm.

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Articulated legs enable the selection of robot gaits, including walking in different directions such as forward or sideways. For longer distances, the best gaits might maximize velocity or minimize the cost of transport (COT). Interestingly, while animals often adapt their morphology for walking either forward (like insects) or sideways (like crabs...

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... robot's dactyls intentionally point inward [30,31] and are therefore not reversible. As shown in figure 4(a), the rotational range for hip joints θ 1 is (−22.5 • , 22.5 • ) and for knee joints θ 2 (−80 • , 20 • ), and for ankle joints θ 3 (−130 • , 0). The negative value for θ 1 is the clockwise direction, and the negative values for θ 2 and θ 3 are the downward direction. ...
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... both forward walking and sideways walking, the stance phase trajectory is a straight line and the swing phase trajectory is a parabola with 6 cm swing height, as in figure 4. We choose 6 cm as the swing height, because this is sufficient for extracting dactyls from the sand. ...
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... about 55% of the trajectory error sideways walking is in the swing phase, so we expect increasing the swing height to decrease speed. Figure 4(a) is the trajectory for the right middle leg for forward walking and figure 4(b) is the trajectory for the right legs' sideways walking. ...
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... stance, the trajectory, figure 4, is defined by endpoints A and B, which are determined by the full stride in figures 3(b) and (c). We divide the stride into k equal segments of equal time. ...
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... forward walking swing phase, the hip angle (θ 1 ) increases at a constant rate and we use inverse kinematics to determine the knee and ankle angles (θ 2 and θ 3 ) that keep the end effector on the desired parabolic trajectory, figure 4. Thus the k + 1 points are determined by increments of (θ 1B − θ 1A )/k, where θ 1B and θ 1A are the θ 1 for point B and A respectively, figure 4. In sideways walking swing phase, the x direction speed is held constant and thus the k + 1 points are determined by increments of (x B − x A )/k, where x B and x A are the x positions for points B and A respectively, figure 4. ...
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... forward walking swing phase, the hip angle (θ 1 ) increases at a constant rate and we use inverse kinematics to determine the knee and ankle angles (θ 2 and θ 3 ) that keep the end effector on the desired parabolic trajectory, figure 4. Thus the k + 1 points are determined by increments of (θ 1B − θ 1A )/k, where θ 1B and θ 1A are the θ 1 for point B and A respectively, figure 4. In sideways walking swing phase, the x direction speed is held constant and thus the k + 1 points are determined by increments of (x B − x A )/k, where x B and x A are the x positions for points B and A respectively, figure 4. ...

Citations

... During the stance motion, the middle leg pulls the robot forward, with the dactyl orientation moving through an pre-determined angle range. In previous work, we describe this angle as the angle between the ground and dactyl (AGD) [38]. At the end of the stance, the dactyl will be pointed further away from the direction of travel, and the weight of the robot pushes the dactyl inwards toward the center of the robot. ...
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... Chen et al. conducted a comprehensive study on the gait of a hexapod walking robot, comparing forward and lateral walking modes. Their findings revealed superior performance in lateral walking, with a 75% increase in walking speed and a 40% reduction in the coefficient of tangential force [7]. Luneckas et al. introduced an energy-efficient approach for hexapod walking robots, dynamically switching gaits based on the robot's current speed to minimize energy consumption [8,9]. ...
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... Blake, R. experimentally discussed the effect of flow velocity on the lift-to-drag ratio of crab shells [20]. Through prototype tests, Chen, Y. et al. demonstrated that a crab-type multipedal robot performed better transverse walking than forward walking [21]. Kinugasa, T. et al. discussed that the leg movements of living creatures are highly dependent on the body involved in the dynamics and biological characteristics [22]. ...
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... Using a hexapod robot, Chen et al. simulated insect-like forward walking and crab-like lateral walking morphology. Crab-like lateral walking performed better on hard surfaces and dry sand [19]. Graf et al. improved the robot's grip on the beach by designing the crab leg joint with a tapered bent leg at the tip of the foot, based on their study of the behavioral characteristic that crabs bend their toes when resisting wave forces in the surf zone [20]. ...
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Bionic-legged robots draw inspiration from animal locomotion methods and structures, demonstrating the potential to traverse irregular and unstructured environments. The ability of Portunus trituberculatus (Portunus) to run flexibly and quickly in amphibious environments inspires the design of systems and locomotion methods for amphibious robots. This research describes an amphibious crab-like robot based on Portunus and designs a parallel leg mechanism for the robot based on biological observations. The research creates the group and sequential gait commonly used in multiped robots combined with the form of the robot’s leg mechanism arrangement. This research designed the parallel leg mechanism and modeled its dynamics. Utilizing the outcomes of the dynamics modeling, we calculate the force and torque exerted on each joint of the leg mechanism during group gait and sequential gait when the robot is moving with a load. This analysis aims to assess the performance of the robot’s motion. Finally, a series of performance evaluation experiments are conducted on land and underwater, which show that the amphibious crab-like robot has good walking performance. The crab-like robot can perform forward, backward, left, and right walking well using group and sequential gaits. Simultaneously, the crab-like robot showcases faster movement in group gaits and a more substantial load capacity in sequential gaits.
... Even so, our TLRB experiment still achieved a grasping (moving) distance of 102 mm, which is at least 1.5 times that of the distance achieved by the TLB gait (63 mm). Next, we consider factors affecting the energy consumption of the actuators and analyze gait movement performance using the cost of transport (COT) [33] index, which is defined as follows: ...
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... The category of ULRs is very heterogeneous in terms of morphology and size. Prototypes with one [70,71], two [75], four [68,72,89], six [24,84,102,103,107,108], and eight legs [87] were developed, and legs with one [99], two [71,92], three [24,72,109], or more [110] DoFs were employed. Naturally, ULRs with a higher number of DoFs are potentially more versatile and several behaviours can be implemented on the same robot. ...
... ULRs featuring several DoFs can employ several types of gaits to adapt to different situations. In [107], using the hexapod Sebastian, the differences in terms of speed and cost of transport between sideways and forward walking was investigated, finding that sideways walking is faster and more efficient than forward walking for both hard floors and granular media. The developers of Hexaterra, investigated static gaits to maintain stability on irregular terrains [96], while the developers of SILVER2 proposed an inspection strategy in which the ULR switches from punting to static locomotion upon the detection of a target to approach it safely. ...
Article
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... Therefore, Portunus widely exists in the shoal, surge, and other environments [27]. Many researchers in the field of robotics have already studied crabs and developed a variety of crab robots [9,[28][29][30]. We have learned one kind of the walking gait of Portunus and demonstrated its viability in the amphibious environment with a simple robotic platform [31]. ...
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... The planar motion of these limbs resembles that of simple robotic limbs and therefore may inform effective design principles [37]. Since sideways walking has also been shown to enable faster walking for both biological crabs and crab-inspired robots [27,33], sideways-walking crabs provide valuable inspiration for legged robotics on uneven terrain. ...
... Our intent is to provide a simple, theoretical discussion of how limb geometry influences the ability to step across hemispherical obstacles, and to confirm this geometry in animals who face relevant Our goal is to explore how to use legs with two coplanar joints with horizontal axes of rotation to traverse terrain with regular valley features. These optimizations will be relevant for many robots, including Ghost [23], ANYmal [9], and our crab-like robot Sebastian [27]. The blue and red legs in robots correspond to the same colored limbs in the biological crab. ...
... We envision a gait in which multiple stance legs work together to create opposing forces for stabilization, which can be accomplished by moving either one leg at a time for stability or moving more legs in phase, for example in an alternating tripod gait. This work does not address the control or trajectory planning for the limbs to find the valleys, but other work suggests that this is possible either passively [27,38] or with vision [8,39]. Instead, we are answering the question: how does the ratio of distal to proximal length of a two-jointed leg influence the ability to reach over hemispherical obstacles of varying sizes and produce sufficient traction for force closure and successful walking? ...
Article
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Quadruped robots have frequently appeared in various situations, including wilderness rescue, planetary exploration, and nuclear power facility maintenance. The quadruped robot with an active body joint has better environmental adaptability than one without body joints. However, it is difficult to guarantee the stability of the body joint quadruped robot when walking on rough terrain. Given the above issues, this paper proposed a gait control method for the body joint quadruped robot based on multi-constraint spatial coupling (MCSC) algorithm. The body workspace of the robot is divided into three subspaces, which are solved for different gaits, and then coupled to obtain the stable workspace of the body. A multi-layer central pattern generator (CPG) model based on the Hopf oscillator is built to realize the generation and switching of walk and trot gaits. Then, combined with the MCSC area of the body, the reflex adjustment strategy on different terrains is established to adjust the body’s posture in real time and realize the robot's stable locomotion. Finally, the robot prototype is developed to verify the effectiveness of the control method. The simulation and experiment results show that the proposed method can reduce the offset of the swing legs and the fluctuation of the body attitude angle. Furthermore, the quadruped robot is ensured to maintain stability by dynamically modifying its body posture. The relevant result can offer a helpful reference for the control of quadruped robots in complex environments.