Robotic Manipulation

Nonprehensile manipulation primitives such as rolling, sliding, pushing, and throwing are commonly used by humans but are often avoided by robots, who generally use grasping. Dynamic nonprehensile manipulation raises challenges in high-speed sensing and control, as the manipulated object is not in static equilibrium throughout the process which would be the case with standard grasping. An advantage, however, is that dynamics can be exploited to help the robot control object motions that would otherwise be impossible.

Vibratory Manipulation:

This project examines a very simple and versatile robotic manipulator with surprising capabilities: a six-degree-of-freedom (6-dof) rigid vibrating plate whose motion can be programmed. Even though this manipulator has no grasping ability, it can be used to create programmable vector fields describing how parts will slide on the surface under the influence of friction. These vector fields can be used to manipulate a single part (e.g., to orient or position it), or to manipulate multiple parts along independent trajectories (e.g., to assemble or sort them). For example, some plate motions cause all parts to move directly to a specific point on the plate surface; other plate motions cause parts to align themselves along a desired axis; yet others sort parts based on their friction coefficients. By studying the dynamics of the plate-part system, we seek to understand the full set of vector fields that can be generated with a 6-dof plate. By exploiting these fields, we can perform manipulation tasks in which parts are moved from one set of configurations to another one.

Example of movement along PPoD surface

The manipulator works because for any small-amplitude periodic plate motion, point parts (or rigid parts in three-point contact with the plate) move as if they are immersed in a configuration-dependent velocity field. Specifically, there is a unique mapping from every small-amplitude periodic plate motion to a corresponding velocity field, which we call an asymptotic velocity field. To a very good approximation, parts can be modeled as "flowing" through the asymptotic velocity field. The effect is very similar to the way the trajectories of objects floating on a river converge to the local flow of the water. The key feature is that the asymptotic velocity field (i.e., the flow pattern of the river) can be changed on command by simply reprogramming the motion of the plate.

We have built several manipulators called PPODs (Programmable Part-feeding Oscillatory Devices). A 6-dof PPOD consists of six linear actuators attached to a rigid plate via six linkages. Each linkage contains a compliant flexure that serves as a joint and allows the plate to move with six degrees-of-freedom. Dual-axis accelerometers are mounted around the perimeter of the plate to measure its linear and angular accelerations. We have developed a frequency-based iterative learning controller that drives the plate's linear and angular accelerations to desired small-amplitude periodic trajectories. With this controller, we can program the PPOD to move such that an appropriate asymptotic velocity field is generated to accomplish a desired manipulation task.

The plate's ability to move with all six degrees-of-freedom allows for significant control over the effective gravitational force (and therefore the frictional force) that a part experiences as a function of its configuration on the plate. Previously studied systems based on vibratory plates have been limited in the types of fields they can generate because the plate's motion has been restricted in some manner. For example, a plate that can only vibrate in the horizontal plane cannot create fields with attractors (e.g., stable fixed points, which correspond to equilibrium configurations for the part). Because PPODs can move with all six degrees-of-freedom, they can generate a large class of fields including ones with stable attractors. This means that a PPOD can be used to sensorlessly position and orient parts. Other programmable manipulation systems with this capability often utilize an array of many small actuators on the plate surface to generate a vector field. By contrast, the PPOD architecture is much simpler (only six actuators) and the vector fields it generates are not spatially discretized like array-based systems.

Media coverage

Assembly Magazine article on part manipulation with a PPOD. December 19, 2007.

Funding

This material is based upon work supported by the National Science Foundation under Grant No. 0700537. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Rolling Manipulation:

Our long-term goal is to develop a unified framework for planning and control of dynamic robotic manipulation. A typical manipulation plan consists of a sequence of manipulation primitives chosen from a library of primitives, with each primitive equipped with its own feedback controller. Problems of interest include planning the motion of the manipulator to achieve the desired motion of the object and feedback control to stabilize the desired trajectory.

As a first step to understand the nature of dynamic nonprehensile manipulation, we study feedback stabilization of a canonical rolling problem:  balancing a disk-shaped object on top of a disk-shaped manipulator (referred to as the hand) in a vertical plane. The balancing task is further extended to more difficult problems of stabilization at the upright position while the hand or object (i) rotates to a specific orientation or (ii) spins at a constant velocity. We constrain the motion of the circular hand to rotation about its center. We derive control laws that stabilize the object to the balanced position under the kinematic assumption of rolling at all times.  The basin of attraction is reduced when the contact is modeled using Coulomb friction, but it is still large with large friction coefficients. This work is successfully implemented using high-speed vision feedback.

We are currently focusing on motion planning and feedback stabilization of a broad class of rolling trajectories for smooth planar objects rolling on smooth planar hands (other than disks) moving with a full three degrees-of-freedom. The resulting dynamic rolling manipulation primitive will be incorporated into our library of nonprehensile manipulation primitives.

Funding

This work is supported by National Science Foundation grant IIS-0964665.

Video

Related publications

Dynamic In-hand Sliding Manipulation

Shi, J., J. Z. Woodruff, and K. M. Lynch, "Dynamic In-hand Sliding Manipulation", Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, Germany, IEEE, pp. 870 - 877, Sept. 2015.