The research, conducted by Switzerland's EPFL, explores ways in which robotic hands can grow beyond existing confines to grasp an even wider range of objects. The team's deep learning model has significantly advanced dexterous manipulation techniques for multi-fingered hand grasping, but the contact information-guided grasping in cluttered environments remains largely underexplored. The researchers aimed to break free from the limitations of traditional robotic design, which often mimics the movements and capabilities of humans and animals. Instead, they intentionally pushed the boundaries, resulting in a robotic hand that is both fascinating and unsettling.