WowWee MiP Balancing Robot

Product Information

The next icon in the menu is MiP cans. These are little personality chips. If you feed one to MiP, he will take on that personality for a few seconds. You can make him happy, sad, confused, farty, sleepy and more!

Meet MiP - the first robot which can be controlled using GestureSense technology, so wherever you move your hand your own little robot buddy will move as well. Push your hand or an object towards him and watch him react – it’s like he can sense you’re there! View 2: Redundancy- In this view, multi-functionality is achieved by brute-force approaches based on the plurality of appendages that can deliver one function only. Hence, the appendages are not shared among different modes and are fixated on non-morphing bodies. Note that by redundancy we refer to the number of appendages involved in a locomotion mode. We label it redundant if more appendages are required than the minimum number needed for that mode. Therefore, redundancy in actuated joints does not render a system redundant. Consider human bipedal locomotion that consists of two legs each comprising a plural of muscles (analog to robot actuators) that would allow the leg to deliver different functions. In our view, this example is not redundant. By inspecting the state-of-the-art multi-modal robots, we notice that, besides many redundant designs, a large number of soft- and rigid-bodied morphing systems have been introduced so far. By using redundancy and novel adaptive structures, the robotic community has tirelessly worked on democratizing multi-modal robots that can showcase animals’ locomotion resiliency and fault tolerance. However, the total number of modes achieved in these examples has remained limited to small numbers. In addition, today’s multi-modal robots that face conflicting design requirements are not scalable, i.e., they do not have the payload capacity needed to carry large items to render their multi-modality useful. In these designs, in addition to the added mass from each mode, there is another form of added mass that must be considered to avoid the risk of immobilization. As the mass from other modes adds up, some modes (e.g., UAS and legged modes) require the addition of large actuators, power electronics, and batteries to prevent the risk of immobilization. In other words, in these modes, component size rapidly grows as the total mass increases. Other modes may be less sensitive to mass increase. For instance, the manipulation mode cannot be affected by an increase in the total mass since it depends solely on the object’s mass, not the robot’s mass. On the contrary, the legged mode is very sensitive to mass increase since joint actuators have to carry the robot’s weight. Shake Shake: Shake MiP™ Arcade as fast as you can! The more you shake MiP™ Arcade, the higher the virtual shake meter fills up. Can you complete before time runs out! RECORD AUDIO - When you tap the camera button, we use your microphone to when recording videos of MiP driving. The microphone is only activated when you press the camera button, we do not record without your permission.

MiP™ Arcade comes fully loaded top-tier tech like Bluetooth and GestureSense™ technology and keeps you playing non-stop with new accessories!

We have presented M4 and showcased the advantages of considering morpho-functional appendages that can be repurposed to manipulate redundancy to enhance locomotion plasticity and achieve payload scalability. A few works that previously applied appendage repurposing in their designs achieved limited locomotion plasticity. Instead, in this paper, we demonstrated that our robot can (1) fly, (2) roll, (3) walk, (4) crouch, (5) balance, (6) tumble, (7) scout, and (8) loco-manipulate objects by switching the functionality of appendages between wheels, legs, hands, or thrusters. In addition, we demonstrated M4 can drive on steep slopes and vault over large obstacles if other modes were not applicable. We showed M4’s design is scalable and can substantiate fully autonomous, self-contained, multi-modal operations. This modal diversity and level of autonomy have not been reported in multi-modal locomotion before and differentiates our robot from existing platforms. To substantiate the claimed locomotion plasticity in M4, we performed several experiments, including, wheeled locomotion, flight, MIP, crouching, object manipulation, quadrupedal-legged locomotion, thruster-assisted MIP over steep slopes, and tumbling over large obstacles. In addition, to show M4’s design is scalable and can achieve payload capacities that support self-contained operations, we tested fully autonomous multi-modal path-planning using onboard sensors and computers in M4. A summary of these experiments is shown in Figs. 5– 8. Birds such as Hoatzins and Chukars manipulate redundancy in their locomotion apparatuses as well. Juvenile Hoatzins showcase wing-assisted walking 39 to move up vertical or steep slopes to refuge and dodge danger (Fig. 3c). They repurpose the wings and shape-shift the articulated body to extract leg functions from their wings and achieve quadrupedal locomotion. Young Hoatzin nestlings retain functional claws in their wings which helps them to manifest quadrupedal locomotion and even climb in the vegetation.APPROXIMATE LOCATION (NETWORK BASED) - We also use this for reporting of anonymous statistics using Flurry to help us improve the MiP app for you. TAKE PICTURES AND VIDEOS - When you tap the camera button, we use your camera to record videos of your MiP when driving. The camera is only activated when you press the camera button, we do not record without your permission. Here, the question to ask is: Which design views yield scalable robots with large locomotion plasticity? We list three views, including two mainstream views (1–2) that cover the multi-modal designs introduced in literature and one view (3) that has been explored to a very limited extent: