Cognitive Robotics Lecture Plan - Revision history

Dvernon: Redirected page to Cognitive Robotics Lecture Schedule

2016-12-27T07:23:17Z

Redirected page to Cognitive Robotics Lecture Schedule

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Dvernon at 07:10, 27 December 2016

2016-12-27T07:10:15Z

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Dvernon at 06:47, 27 December 2016

2016-12-27T06:47:11Z

Dvernon at 17:12, 21 December 2016

2016-12-21T17:12:25Z

Dvernon at 17:11, 21 December 2016

2016-12-21T17:11:18Z

Dvernon at 15:25, 21 December 2016

2016-12-21T15:25:12Z

Dvernon at 15:20, 21 December 2016

2016-12-21T15:20:14Z

Dvernon at 15:16, 21 December 2016

2016-12-21T15:16:50Z

Dvernon at 14:53, 21 December 2016

2016-12-21T14:53:36Z

Dvernon at 12:53, 21 December 2016

2016-12-21T12:53:19Z

@@ Line 2: / Line 2: @@
 {| class="wikitable"
 |- style="vertical-align: top;"
-! Week
+! Date
 ! Lecture
 ! Topic
@@ Line 11: / Line 11: @@
 ! Homework&nbsp;exercises
 |- style="vertical-align: top;"
-| 1
+| Tues. 2/17
 | 1
 | Cognitive robotics
@@ Line 20: / Line 20: @@
 | Installation of software tools.
 |- style="vertical-align: top;"
-| 1
+| Thurs. 2/19
 | 2
 | Robot&nbsp; vision I

@@ Line 14: / Line 14: @@
 | 1
 | Cognitive robotics
-| Introduction to AI and cognition in robotics. Industrial requirements. Artificial cognitive systems. Cognitivist, emergent, and hybrid paradigms in cognitive science. Autonomy.
+| Introduction to AI and cognition in robotics. Industrial requirements. Artificial cognitive systems. Cognitivist, emergent, and hybrid paradigms in cognitive science. Autonomy. Introduction to OpenCV and course software and hardware.
 | None
 | None
@@ Line 23: / Line 23: @@
 | 2
 | Robot&nbsp; vision I
-| Optics, sensors, and image formation. Image acquisition. Image filtering. Edge detection. Introduction to OpenCV and course software and hardware.
+| Optics, sensors, and image formation. Image acquisition. Image filtering. Edge detection. Introduction to OpenCV.
 | USB camera
 | OpenCV

@@ Line 23: / Line 23: @@
 | 2
 | Robot&nbsp; vision I
-| Optics, sensors, and image formation. Image acquisition. Image filtering. Edge detection.
+| Optics, sensors, and image formation. Image acquisition. Image filtering. Edge detection. Introduction to OpenCV and course software and hardware.
 | USB camera
 | OpenCV

@@ Line 81: / Line 81: @@
 |Anki Cozmo SDK, OpenCV
 |Python tutorial. Cozmo SDK API. OpenCV Python tutorial.
-|Cozmo locomotion (e.g. program Cozmo to drive along a pre-determined route and perform face detection)
+|Cozmo locomotion.
 |- style="vertical-align: top;"
 | 5
@@ Line 90: / Line 90: @@
 |Anki Cozmo SDK, OpenCV
 |Python tutorial. Cozmo SDK API. OpenCV Python tutorial.
-|Cozmo landmark recognition
+|Cozmo landmark recognition.
 |- style="vertical-align: top;"
 | 5

@@ Line 234: / Line 234: @@
 |Anki Cozmo SDK, PSL library
 |Vernon (2014), Chapter 8. Billing et al. (2016).
-|Exercises on PSL test programs
+|PSL test programs
 |- style="vertical-align: top;"
 | 13
@@ Line 243: / Line 243: @@
 |Boost, Imperial College London HAMMER library
 |Demiris and Khadhouri (2006). Sarabia et al. (2011).
-|Exercise on HAMMER tutorial using the ICL library
+|HAMMER tutorial using the ICL library
 |- style="vertical-align: top;"
 | 14

@@ Line 257: / Line 257: @@
 | 28
 |Social interaction II
-|Action and intention recognition. Learning from demonstration. Humanoid robotics.
+|Action and intention recognition. Embodied cognition. Humanoid robotics.
 |Kinect RGB-D sensor
 |Ubuntu 14.04, ROS, Imperial College London Perspective Taking library.

@@ Line 149: / Line 149: @@
 | 16
 |Robot arms IV
-|Language-based programming. Programming by demonstration.
+|Programming by demonstration. Language-based programming.
 |Lynxmotion 5DoF arm, Arduino interface
 |Arduino sketch programs for Lynxmotion
@@ Line 175: / Line 175: @@
 | 10
 | 19
 |Learning and development I
 |Supervised, unsupervised, and reinforcement learning. Hebbian learning.
@@ Line 183: / Line 192: @@
 |- style="vertical-align: top;"
 | 10
-| 20
+| 21
 |Learning and development II
 |Predictive sequence learning (PSL).
@@ Line 192: / Line 201: @@
 |- style="vertical-align: top;"
 | 11
-| 21
+| 22
 |Learning and development III
-|Cognitive development in humans and robots.
+|Learning from demonstration
 |Anki Cozmo mobile robot
-|Anki Cozmo SDK
+|Anki Cozmo SDK, PSL library
-|Vernon (2014), Chapters 6 & 9. |Lungarella et al. (2003). Asada et al. (2009). Cangelosi and Schlesinger (2015), Chapters 1 & 2.
+|Vernon (2014), Chapters 6 & 8. Billard et al. (2008). Argall (2009).
 |PSL test programs
 |- style="vertical-align: top;"
-| 11
+| 12
-| 22
+| 23
 |Learning and development IV
-|Value systems for developmental and cognitive robots.
+|Cognitive development in humans and robots. Value systems for developmental and cognitive robots.
+|
+|
-|Merrick (2016). Vernon et al. (2016).
+|Vernon (2014), Chapters 6 & 9. Lungarella et al. (2003). Asada et al. (2009). Cangelosi and Schlesinger (2015), Chapters 1 & 2.	Merrick (2016).  Vernon et al. (2016).
-|Group discussion on cognitive development in robotics
 |- style="vertical-align: top;"
 | 12
-| 23
+| 24
 |Memory and Prospection
 |Declarative vs. procedural memory. Semantic memory. Episodic memory
@@ Line 218: / Line 227: @@
 |Implementation of episodic memory on Cozmo
 |- style="vertical-align: top;"
-| 12
+| 13
-| 24
+| 25
 |Internal simulation I
-|Forward and inverse models, internal simulation hypothesis, internal simulation with PSL
+|Episodic future thinking. Forward and inverse models. Internal simulation hypothesis, Internal simulation with PSL
 |Anki Cozmo mobile robot
 |Anki Cozmo SDK, PSL library
@@ Line 228: / Line 237: @@
 |- style="vertical-align: top;"
 | 13
-| 25
+| 26
 |Internal simulation II
 |HAMMER cognitive architecture
@@ Line 235: / Line 244: @@
 |Demiris and Khadhouri (2006). Sarabia et al. (2011).
 |Exercise on HAMMER tutorial using the ICL library
 |- style="vertical-align: top;"
 | 14
@@ Line 249: / Line 249: @@
 |Social interaction I
 |Joint action. Joint attention. Shared intention. Shared goals. Perspective taking. Theory of mind.
-|Orabec Astra RGB-D sensor
+|Kinect RGB-D sensor
 |Ubuntu 14.04, ROS, Imperial College London Perspective Taking library
-|Vernon (2014), Chapter 9.
+|Vernon (2014), Chapter 9. Fisher and Demiris 2016.
-|Exercise on perspective taking using the ICL library
+|Perspective taking using the ICL library.
 |- style="vertical-align: top;"
 | 14
@@ Line 259: / Line 259: @@
 |Action and intention recognition. Learning from demonstration. Humanoid robotics.
 |Kinect RGB-D sensor
-|PSL library
+|Ubuntu 14.04, ROS, Imperial College London Perspective Taking library.
-|Billard et al. (2008). Argall (2009).
+|Vernon (2014), Chapter 9.
-|Exercise on learning from demonstration using the PSL library
+|Perspective taking using the ICL library
 |}
 </small>

@@ Line 59: / Line 59: @@
 | 6
 |Robot&nbsp; vision V
-Plane pop-out. RANSAC. Differential geometry. Surface normals and Gaussian sphere. Point clouds. 3D descriptors.
+|Plane pop-out. RANSAC. Differential geometry. Surface normals and Gaussian sphere. Point clouds. 3D descriptors.
 |Kinect RGB-D sensor
 |Technische Universität Wien RGB-D Segmentation Library and V4R Library