Competition Tracks

Teams will be challenged to design solutions that, given a set of known and unknown objects placed randomly within a clear box, will enable a robotic arm to pick and place each object into a second clear box within a maximum allowed time.

This track is based on the Cluttered Environment Picking Benchmark (CEPB). See the webpage for more information: http://cepbbenchmark.eu/.

Contact: S. D'Avella

Teams will be challenged to design multimodal solutions that enable a robot to estimate the physical properties of an object while handed over by a person. The robot then will need to complete the handover by safely and stably receiving the object and delivering it to a predefined location.

More info: https://corsmal.github.io/events/rgmc/icra2027 

Contacts: A. Xompero, C. Oh, A. Cavallaro

Past editions: ICRA 2024 | ICRA 2025 | ICRA 2026

Teams will be challenged to develop robust solutions for two manipulation tasks using remote access to the cloud robotics platform CloudGripper:
a) to push a variety of objects to a target location (planar movement); 
b) to control the shape of a linear deformable object to match a target pose.  

CloudGripper: https://cloudgripper.org (KTH Royal Institute of Technology)
A set of small robotic arm cells will be made available.

Contacts: F. T. Pokorny, M. Zahid

Teams will be challenged to combine autonomous mobile docking and navigation, perception, and manipulation to perform a series of industrially-orientated tasks on a variant of the NIST Robotic Assembly Task-board.

Contacts: O. Aboul-Enein, K. Kimble

Undergraduate students and junior researchers will have the opportunity to develop and evaluate robot control algorithms in a shared simulation environment. Teams are challenged to develop perception and control algorithms that enable a robotic arm with a two-finger gripper to autonomously identify, grasp, and sort objects in a realistic physics-based simulation.

Contacts: Y. Li, A. Shankar