TY - GEN
T1 - Where Can I Do This? Geometric Affordances from a Single Example with the Interaction Tensor
AU - Ruiz Libreros, Eduardo
AU - Mayol-Cuevas, Walterio
PY - 2018/11
Y1 - 2018/11
N2 - This paper introduces and evaluates a new tensor field representation to express the geometric affordance of one object relative to another, a key competence for Cognitive and Autonomous robots. We expand the bisector surface representation to one that is weight-driven and that retains the provenance of surface points with directional vectors. We also incorporate the notion of affordance keypoints which allow for faster decisions at a point of query and with a compact and straightforward descriptor. Using a single interaction example, we are able to generalize to previously-unseen scenarios; both synthetic and also real scenes captured with RGB-D sensors. Evaluations also include crowdsourcing comparisons that confirm the validity of our affordance proposals, which agree on average 84 % of the time with human judgments, that is 20-40 % better than the baseline methods.
AB - This paper introduces and evaluates a new tensor field representation to express the geometric affordance of one object relative to another, a key competence for Cognitive and Autonomous robots. We expand the bisector surface representation to one that is weight-driven and that retains the provenance of surface points with directional vectors. We also incorporate the notion of affordance keypoints which allow for faster decisions at a point of query and with a compact and straightforward descriptor. Using a single interaction example, we are able to generalize to previously-unseen scenarios; both synthetic and also real scenes captured with RGB-D sensors. Evaluations also include crowdsourcing comparisons that confirm the validity of our affordance proposals, which agree on average 84 % of the time with human judgments, that is 20-40 % better than the baseline methods.
U2 - 10.1109/ICRA.2018.8462835
DO - 10.1109/ICRA.2018.8462835
M3 - Conference Contribution (Conference Proceeding)
SN - 9781538630822
T3 - International Conference on Robotics and Automation
SP - 2192
EP - 2199
BT - 2018 IEEE International Conference on Robotics and Automation (ICRA 2018)
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2018 IEEE International Conference on Robotics and Automation (ICRA)
Y2 - 21 May 2018 through 25 May 2018
ER -