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Found 6 papers, 0 papers with code
Improving Human-Robot Collaboration via Computational Design
When robots entered our day-to-day life, the shared space surrounding humans and robots is critical for effective Human-Robot collaboration.
Designing Human-Robot Coexistence Space
Our implementation shows that the proposed framework can produce a design around three to five minutes on average comparing to 10 to 20 minutes without the proposed motion planner.
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning
Rule-based methods, on the other hand, can handle more complex scenarios in which environments are cluttered with obstacles and allow multiple shepherds to work collaboratively.
Material Editing Using a Physically Based Rendering Network
We propose an end-to-end network architecture that replicates the forward image formation process to accomplish this task.
Continuous Visibility Feature
We say that a point q on the mesh is continuously visible from another point p if there exists a geodesic path connecting p and q that is entirely visible by p. In order to efficiently estimate the continuous visibility for all the vertices in a model, we propose two approaches that use specific CVF properties to avoid exhaustive visibility tests.
Dual-Space Decomposition of 2D Complex Shapes
In this paper, we propose a new decomposition method, called Dual-space Decomposition that handles complex 2D shapes by recognizing the importance of holes and classifying holes as either topological noise or structurally important features.
