Systems and methods for detecting pose and force against an object are provided. A method includes receiving a signal from a deformable sensor comprising data from a deformation region in a deformable membrane resulting from contact with the object utilizing an internal sensor disposed within an enclosure and having a field of view directed through a medium and toward a bottom surface of the deformable membrane. The method also determines a pose of the object based on the deformation region of the deformable membrane. The method also determines an amount of force applied between the deformable membrane and the object is determined based on the deformation region of the deformable membrane.

Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.

Systems and methods for detecting pose and force against an object are provided. A method includes receiving a signal from a deformable sensor comprising data from a deformation region in a deformable membrane resulting from contact with the object utilizing an internal sensor disposed within an enclosure and having a field of view directed through a medium and toward a bottom surface of the deformable membrane. The method also determines a pose of the object based on the deformation region of the deformable membrane. The method also determines an amount of force applied between the deformable membrane and the object is determined based on the deformation region of the deformable membrane.

Exemplary embodiments relate to user-assisted robotic control systems, user interfaces for remote control of robotic systems, vision systems in robotic control systems, and modular grippers for use by robotic systems. The systems, methods, apparatuses and computer-readable media instructions described interact with and control robotic systems, in particular pick and place systems using soft robotic actuators to grasp, move and release target objects.

Systems and methods for detecting pose and force against an object are provided. A method includes receiving a signal from a deformable sensor comprising data from a deformation region in a deformable membrane resulting from contact with the object utilizing an internal sensor disposed within an enclosure and having a field of view directed through a medium and toward a bottom surface of the deformable membrane. The method also determines a pose of the object based on the deformation region of the deformable membrane. The method also determines an amount of force applied between the deformable membrane and the object is determined based on the deformation region of the deformable membrane.

Exemplary embodiments relate to applications for soft robotic actuators in the manufacturing, packaging, and food preparation industries, among others. Methods and systems are disclosed for fixing target objects and/or receptacles using soft robotic actuators, for positioning target objects and/or receptacles, and/or for diverting or sorting objects. By using soft robotic actuators to perform the fixing, positioning, and/or diverting, objects of different sizes and configurations may be manipulated on the same processing line, without the need to reconfigure the line or install new hardware when a new object is received.

Exemplary embodiments relate to user-assisted robotic control systems, user interfaces for remote control of robotic systems, vision systems in robotic control systems, and modular grippers for use by robotic systems. The systems, methods, apparatuses and computer-readable media instructions described interact with and control robotic systems, in particular pick and place systems using soft robotic actuators to grasp, move and release target objects.

Exemplary embodiments relate to user-assisted robotic control systems, user interfaces for remote control of robotic systems, vision systems in robotic control systems, and modular grippers for use by robotic systems. Systems, methods, apparatuses and computer-readable media instructions are disclosed for interactions with and control of robotic systems, in particular, pick and place systems using soft robotic actuators to grasp, move and release target objects.

Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.

Exemplary embodiments relate to user-assisted robotic control systems, user interfaces for remote control of robotic systems, vision systems in robotic control systems, and modular grippers for use by robotic systems. The systems, methods, apparatuses and computer-readable media instructions described interact with and control robotic systems, in particular pick and place systems using soft robotic actuators to grasp, move and release target objects.