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IntellAct (2011-14): Intelligent observation and execution of Actions and manipulations
Published on Mar 14, 20123171 Views
IntellAct addresses the problem of understanding and exploiting the meaning (semantics) of manipulations in terms of objects, actions and their consequences for reproducing human actions with machines
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Chapter list
IntellAct (2011-14): Intelligent observation and execution of Actions and manipulations00:00
IntellAct Objectives00:07
Manipulation Learning00:50
Manipulation Execution01:02
Two Scenarios01:10
Cranfield Benchmark01:43
Key Techniques01:52
KT1: Semantic Event Chains (SECs)02:26
LABEX: Version 103:36
Representation03:58
AUTAS: Peg in hole - 104:25
AUTAS: Peg in hole - 204:55
KT2: Probablistic Rule Learning05:35
Mapping Graphs to Logic States05:52
Action Recognition from Graph Transitions - 106:02
Execution of Semantic Event Chains06:19
KT3: Manipulation Densities06:34
Extensions in IntellAct07:26
LearnBiP: Impact of Cognitive System Research to Industrial Robotics07:43
KT4: Dynamic Movement Primitives08:55
Action Recognition from Graph Transitions - 209:05
Programming by Demonstration with Self-Collision Avoidance09:12
KT5: Use of VR in IntellAct10:11
Status of IntellAct after one Year10:32
End11:19