WowWee MiP Balancing Robot

Product Information

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. 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! Color Match: Match colors in the app to MiP™ Arcade's chest light. How many colors can you match before time runs out? APPROXIMATE LOCATION (NETWORK BASED) - We also use this for reporting of anonymous statistics using Flurry to help us improve the MiP app for you.

MiP™ Arcade comes fully loaded top-tier tech like Bluetooth and GestureSense™ technology and keeps you playing non-stop with new accessories! 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! The chassis structures and shrouded propeller components in M4 were primarily made of carbon fiber and 3D-printed parts. The 3D-printed parts are fabricated using a fiber-inlay process based on Onyx thermoplastic materials and carbon fiber. These materials were considered due to their great strength-to-weight ratios. M4’s system architecture is outlined in Fig. 4c showing the controller system, power electronics, and communication protocol used in the robot. The robot utilizes two microcontrollers for low-level locomotion control; one is used for posture and wheel motion control, while the other is used to regulate thrusters. In addition to the low-level locomotion controllers, there is a high-level decision-making computer for autonomous multi-modal path planning. The details of M4’s dynamic modeling, low-level locomotion controller design, and high-level, multi-modal path planning can be seen in the Methods Section. Experimental results Out of the box, MiP comes with 7 different game modes, which can be accessed by turning his wheels. The default mode is called "MiP mode", represented by the color blue. In this mode, the user can use his hands to control the robot. The key to using this mode effectively is to give MiP a wide surface area to recognize. The flatter your hand is when you come at him, the better the response will be.

Samsung Jetbot Mop

The robotic biomimicry of these redundancy manipulations through appendage morphing has remained unexplored. The celebrated multi-modal robots presented by refs. 42, 43 possess interesting designs that permit flipper-leg and wheel-leg repurposing to achieve aquatic-legged and wheeled-legged modalities. However, M4 differs from refs. 42, 43, 44 work because M4 exhaust appendage redundancy manipulation through morphing to maximize locomotion plasticity. For instance 42, repurposes four flippers into four legs for walking. Instead, M4 repurposes four legs into: Next, is Roam mode, represented by the color yellow. Here, you can place MiP on a flat surface and let him navigate his surroundings autonomously. If MiP sees something in his path, he will turn and roll to a different direction. He does not have edge detection however. Be careful not to let him fall of tables or staircases. 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! Battle: Last MiP Standing - Challenge other MiPs head to head and see who is the Last MiP Standing.

He also has his own in-built emotions and personality so be nice to him and he will be your new best friend, but get on his bad side and you will have one angry robot on your hands! Want to see all out robot warfare? You and a friend can pit your MiP’s against each other to see which robot comes out on top.In the MIP maneuver (Fig. 5b), we demonstrated that M4 could repurpose its front and rear appendages to generate the external forces required to stand up and sit down entirely independently without external support. The maneuver provides two immediate mobility advantages: increased reach (or higher vantage point) and enhanced traction forces. The first advantage can be leveraged to tumble over large obstacles that cannot be handled with legged and wheeled mobilities. The second advantage can be employed to travel on steep slopes, similar to how birds use their wings and legs collaboratively to travel over inclined surfaces (i.e., WAIR maneuver). On these steep slopes, large traction forces are required. These forces cannot be substantiated by wheeled mobility.

View 1: Morpho-Functionality- In this view, multi-modal locomotion is achieved through body and appendage morphing. These designs comprise manifold rigid (or soft) links and actuated joints that form articulated bodies and appendages. Morphing or shape-shifting is considered the primary mechanism for changing appendage function. The appendages can be, e.g., legs, wings, flippers, wheels, slithering structures, etc., simultaneously by changing their shapes and motions. The transforming body recruits these multi-functional appendages and shares them among different mobility modes. Our results suggest that redundancy manipulation using morphing appendages can present a powerful design view that not only can yield impressive locomotion plasticity within a single substrate but also can support crossing the boundaries of multi-substrate locomotion that involve conflicting requirements such as ground and air. We found that appendage repurposing is an effective tool for creating scalable designs when conflicting requirements exist. For instance, the increased thrust-to-weigh ratio achieved by repurposing all appendages to the thrusters in M4 can quadruple when all appendages are repurposed to the thruster since the payload remains fixed. Remarkably, biologists reported these observations before; however, the robotic demonstrations remained unexplored or were not explored to the level showcased in this paper. where \({{{{{{{\bf{x}}}}}}}}\in {{\mathbb{R}}} 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.

How We Test Robot Mops

ACCESS BLUETOOTH SETTINGS AND PAIR WITH BLUETOOTH DEVICES - We use Bluetooth to communicate with MiP. This is required for the app to function correctly. 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: 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.

CONTROL VIBRATION - We use this for some of the game modes to vibrate your phone such as Battle Mode. You can toggle this setting on/off before starting the game. Dance -Upload a song to the app library, press play and watch your robot move to the beat (but please no One Direction)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. 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. 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.