ModLab UPenn the modular robotics laboratory at the university of pennsylvania

SMORES
Configuration Recognition with Distributed Information for Modular Robots
Configuration Recognition with Distributed Information for Modular Robots

Modular robots are usually composed of multiple blocks with uniform docking interfaces that can be transformed into different configurations. It is a significant challenge to recognize modular robot configurations composed of hundreds of modules. Given a new configuration, it is important to match it to an existing configuration and, if true, map each module to […]

The EP-Face Connector
The EP-Face Connector

We present the EP-Face connector, a novel connector for hybrid chain-lattice type modular robots that is high- strength (88.4N), compact, fast, power efficient, and robust to position errors.

An End-to-End System for Accomplishing Tasks with Modular Robots
An End-to-End System for Accomplishing Tasks with Modular Robots

Best Systems Paper, RSS 2016.  In this paper, we present an end-to-end system for addressing tasks with modular robots, and demonstrate that it is capable of accomplishing challenging multi-part tasks in hardware experiments.

SMORES-EP
SMORES-EP

SMORES-EP is a modular robot designed and built at the University of Pennsylvania, and used by researchers at Penn and Cornell. SMORES stands for Self-Assembling MOdular Robot for Extreme Shapeshifting, and EP refers to the Electro-Permanent magnets the modules use to connect.

Modular Robot Design Embedding
Modular Robot Design Embedding

We have developed an algorithm that automatically detects embeddability of modular robot configurations. Simply put, a given design embeds another design if it can replicate its structure, and therefore simulate its functionality. We introduce a novel graph representation for modular robots, and formalize the notion of embedding through topological and kinematic conditions. Our algorithm involves […]

SMORES
SMORES

The design of this system called SMORES (Self-assembling MOdular Robot for Extreme Shapeshifting) is capable of rearranging its modules in all three classes of reconfiguration; lattice style, chain style and mobile reconfiguration. Modules are independently mobile and are capable of self-assembly from a collection of disconnected modules.