Search Results - "2009 IEEE 8th International Conference on Development and Learning"

Learning object-specific grasp affordance densities by Detry, R., Baseski, E., Popovic, M., Touati, Y., Kruger, N., Kroemer, O., Peters, J., Piater, J.

“…This paper addresses the issue of learning and representing object grasp affordances, i.e. object-gripper relative configurations that lead to successful…”
Get full text

Learning grasping affordances from local visual descriptors by Montesano, L., Lopes, M.

“…In this paper we study the learning of affordances through self-experimentation. We study the learning of local visual descriptors that anticipate the success…”
Get full text

People modify their tutoring behavior in robot-directed interaction for action learning by Vollmer, A.-L., Lohan, K.S., Fischer, K., Nagai, Y., Pitsch, K., Fritsch, J., Rohlfing, K.J., Wrede, B.

“…In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. It has been defined in terms of child-directed…”
Get full text

Learning to Make Facial Expressions by Tingfan Wu, Butko, N.J., Ruvulo, P., Bartlett, M.S., Movellan, J.R.

“…This paper explores the process of self-guided learning of realistic facial expression production by a robotic head with 31 degrees of freedom. Facial motor…”
Get full text

From bottom-Up visual attention to robot action learning by Nagai, Y.

“…This research addresses the challenge of developing an action learning model employing bottom-up visual attention. Although bottom-up attention enables robots…”
Get full text

Efficient exploration and learning of whole body kinematics by Rolf, M., Steil, J.J., Gienger, M.

“…We present a neural network approach to early motor learning. The goal is to explore the needs for boot-strapping the control of hand movements in a…”
Get full text

Pulse discrete cosine transform for saliency-based visual attention by Ying Yu, Bin Wang, Liming Zhang

“…This paper proposes a saliency-based attention model based on pulsed cosine transform that simulates the lateral surround inhibition of neurons with similar…”
Get full text

Toward interactive learning of object categories by a robot: A case study with container and non-container objects by Griffith, S., Sinapov, J., Miller, M., Stoytchev, A.

“…This paper proposes an interactive approach to object categorization that is consistent with the principle that a robot's object representations should be…”
Get full text

Human-Robot Interaction in Concept Acquisition: a computational model by de Greeff, J., Delaunay, F., Belpaeme, T.

“…This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a…”
Get full text

Robotic hand-eye coordination without global reference: A biologically inspired learning scheme by Hulse, M., McBrid, S., Lee, M.

“…Understanding the mechanism mediating the change from inaccurate pre-reaching to accurate reaching in infants may confer advantage from both a robotic and…”
Get full text

Learning and performing place-based mobile manipulation by Stulp, F., Fedrizzi, A., Beetz, M.

“…What it means for an object to be dasiawithin reachpsila depends very much on the morphology and skills of a robot. In this paper, we enable a mobile…”
Get full text

Learning independent causes in natural images explains the spacevariant oblique effect by Rothkopf, C.A., Weisswange, T.H., Triesch, J.

“…The efficient coding hypothesis posits that sensory processing increases independence between neural responses to natural stimuli by removing their statistical…”
Get full text

An intrinsic reward for affordance exploration by Hart, S.

“…In this paper, we present preliminary results demonstrating how a robot can learn environmental affordances in terms of the features that predict successful…”
Get full text

Biomimetic Eye-Neck Coordination by Lopes, M., Bernardino, A., Santos-Victor, J., Rosander, K., von Hofsten, C.

“…We describe a method for coordinating eye and neck motions in the control of a humanoid robotic head. Based on the characteristics of human oculomotor…”
Get full text

Complex text processing by the temporal context machines by Juyang Weng, Qi Zhang, Mingmin Chi, Xiangyang Xue

“…It is largely unknown how the brain deals with time. Hidden Markov model (HMM) has a probability based mechanism to deal with time warping, but no effective…”
Get full text

Compact models of human reaching motions for robotic control in everyday manipulation tasks by Stulp, F., Kresse, I., Maldonado, A., Ruiz, F., Fedrizzi, A., Beetz, M.

“…Autonomous personal robots are currently being equipped with hands and arms that have kinematic redundancy similar to those of humans. Humans exploit the…”
Get full text

Computational benefits of social learning mechanisms: Stimulus enhancement and emulation by Cakmak, M., DePalma, N., Arriaga, R., Thomaz, A.L.

“…Social learning in robotics has largely focused on imitation learning. In this work, we take a broader view of social learning and are interested in the…”
Get full text

Learning to deal with objects by Malfaz, M., Salichs, M.A.

“…In this paper, a modification of the standard learning algorithm Q-learning is presented: Object Q-learning (OQ-learning). An autonomous agent should be able…”
Get full text

Robot navigation and manipulation based on a predictive associative memory by Jockel, S., Mendes, M., Jianwei Zhang, Coimbra, A.P., Crisostomo, M.

“…Proposed in the 1980s, the sparse distributed memory (SDM) is a model of an associative memory based on the properties of a high dimensional binary space. This…”
Get full text

Learning motor dependent Crutchfield's information distance to anticipate changes in the topology of sensory body maps by Schatz, T., Oudeyer, P.-Y.

“…What can a robot learn about the structure of its own body when he does not already know the semantics, the type and the position of its sensors and motors?…”
Get full text