arXiv:2606.30632v1 Announce Type: cross Abstract: Can the robot use a plate to cut a cake if no knife is available? Tool use greatly expands robot capabilities, but to use tools creatively beyond their intended functions, the robot faces the challenge of $\textit{open-world affordance grounding}$: select an open-category object to act as a tool and localize its specific region of action. To this end, we introduce GROW$^2$ (GROunding Which and Where), which leverages object parts as a natural abstraction to split the grounding process hierarchically into semantic and geometric levels, thus bypa
The proliferation of advanced AI models and robotic platforms is converging, enabling more sophisticated and adaptable robotic capabilities beyond predetermined tasks.
This development pushes robotics closer to general-purpose utility by improving autonomous decision-making and creative tool use, critical for deployment in unstructured environments.
Robots gain an enhanced ability to perceive and utilize objects as tools based on their affordances, rather than relying solely on pre-programmed functions for specific objects.
- · Robotics manufacturers
- · Logistics and manufacturing sectors
- · AI software developers
- · Automation integrators
- · Labor engaged in highly repetitive, manual tasks
- · Companies reliant on highly specialized, single-function robotic systems
Robots can perform a wider array of tasks in unpredictable settings, reducing the need for human intervention or highly structured environments.
This improved versatility could accelerate the adoption of robotic systems across various industries, lowering operational costs and increasing productivity.
The enhanced adaptability of robots may contribute to a reevaluation of what constitutes 'unautomatable' work, pressuring labor markets and accelerating the demand for AI-centric skills.
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Read at arXiv cs.AI