Rescue missions in mountain environments are hardly achievable by standard legged robots-because of the high slopes-or by flying robots-because of limited payload capacity. We present a concept for a rope-aided climbing robot which can negotiate up-to-vertical slopes and carry heavy payloads. The robot is attached to the mountain through a rope, and it is equipped with a leg to push against the mountain and initiate jumping maneuvers. Between jumps, a hoist is used to wind/unwind the rope to move vertically and affect the lateral motion. This simple (yet effective) two-fold actuation allows the system to achieve high safety and energy efficiency. Indeed, the rope prevents the robot from falling while compensating for most of its weight, drastically reducing the effort required by the leg actuator. We also present an optimal control strategy to generate point-to-point trajectories overcoming an obstacle. We achieve fast computation time (<1 s) thanks to the use of a custom simplified robot model. We validated the generated optimal movements in Gazebo simulations with a complete robot model with a < 5% error on a 16 m long jump, showing the effectiveness of the proposed approach, and confirming the interest of our concept. Finally, we performed a reachability analysis showing that the region of achievable targets is strongly affected by the friction properties of the foot-wall contact.
翻译:山地环境中的救援任务几乎无法由标准的腿式机器人(由于高坡度)或飞行机器人(由于受限的载重能力)完成。我们提出了一个新概念——一款绳索辅助攀爬机器人,可爬取高达垂直的斜坡并携带重物。该机器人通过绳索固定在山体上,并配备了一个用于推动山体并启动跳跃动作的腿部。在跳跃之间,使用吊索升降绳索以垂直移动和横向运动。这种简单(但有效)的双重致动允许系统实现高安全性和能源效率。实际上,绳索防止了机器人的坠落,同时弥补了其大部分重量,大幅减少了腿部致动器所需的工作量。我们还提出了一种最优控制策略,以生成克服障碍物的点对点轨迹。由于使用了自定义简化的机器人模型,我们实现了快速计算时间(<1 s)。我们在Gazebo仿真平台上用完整的机器人模型验证了生成的最优运动,在16米长的跳跃中的误差小于5%,展示了所提出的方法的有效性,并确认了我们概念的吸引力。最后,我们执行了可达性分析,显示可达目标区域受足-墙接触摩擦特性的影响较大。