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Lectures - Fall 2026

Course Reader (.pdf)

Lectures, MT, MPs

W Tues Topic Thurs Topic Fri Lab Notes
1 08/25 Overview / Intro to Safety
slides
08/27 Safety 2: verification concepts, automata, requirements, counter-examples
slides
08/28 Intro, MP0 walkthrough slides MP0 released
2 09/01 Safety 3: reachability, inductive invariants
slides
09/03 Perception 1: neural networks, backpropagation, gradient descent
slides
09/04 Team formation, MP1 walkthrough MP1 released
3 09/08 Perception 2: NN architecture, coordinate transformations, homogeneous coordinates
slides
09/10 Perception 3: intrinsic, extrinsic matrices, calibration, perspective, projection, eigenvalue problem
slides
09/11 MP0 Demo (MP0 Due) –
4 09/15 Perception 4: depth estimation, visual odometry, fundamental matrix, epipolar geometry
slides
09/17 Control 1: ODEs, lipschitz contuinity, bang-bang control
slides
09/18 MP2 walkthrough slides MP2 released
5 09/22 GEM Field Trip (meet at the highbay facility) 09/24 Project Workthrough F1 Tenth, GRAIC, and Drone projects 09/25 MP1 Demo (MP1 due) –
6 09/29 Review Session (in class) 10/01 Midterm 1 (in class) 10/02 Open Lab –
7 10/06 Control 2: PID, linear systems
slides
10/08 Control 3: linear systems, stability, Lyapunov, Hurwitz criteria
slides
10/09 MP2 Demo (MP2 due) –
8 10/13 Filtering 1: Markov chains, conditional probability, motion models
slides
10/15 Filtering 2: localization bayes filter, histogram filter, beliefs
slides
10/16 MP3 Walkthrough slides MP3 released
9 10/20 Pitch Presentation 1 10/22 Pitch Presentation 2 10/23 Open Lab –
10 10/27 Filtering 3: Kalman filter, localization particle filter, importance sampling
slides
10/29 Filtering 4: review; SLAM
slides
10/30 Open Lab –
11 11/03 Review Session (in class) 11/05 Midterm 2 (in class) 11/06 Open Lab –
12 11/10 Planning 1: graph search, uniform cost search
slides
11/12 Planning 2: A*, optimal search, cost-to-go heuristics
slides
11/13 MP3 Demo (MP3 due) –
13 11/17 Planning 3: hybrid A*, PRM, probabilistic completeness 11/19 Planning 4: RRT, RRG, asymptotic optimality 11/20 Open Lab –
14 11/24 No Class (Fall Break) 11/26 No Class (Thanksgiving) 11/27 No Class (Fall Break) –
15 12/01 12/03 Review Session (in class) 12/04 Open Lab –
16 12/08 Midterm 3 (Last Class) 12/10 Reading Day –

Friday Labs

Session No. TA CA
AB1 (10am-11am) Eric Ji JD
AB2 (11am-12pm) Yuxi Chen Mira, Agastya
AB3 (5pm-6pm) Junsheng Huang Allen
AB4 (6pm-7pm) Hanna Chen Pranav
AB5 (7pm-8pm) Taowei Huang Hyunjun

Office Hours

All TA Office Hours will be held in ECEB 5072 lab.

TA Day/Time Location
Hanna Thurs 4-5PM ECEB 5072
Yuxi Thurs 9:45-10:45AM ECEB 5072
Junsheng Mon 11AM-12PM ECEB 5072
Taowei Tues 10-11AM ECEB 5072
Eric Mon 1-2PM ECEB 5072
Vishesh Wed 11AM-12PM ECEB 5072

Lab space (ECEB5072) usage

You can verify at this link, but as of Aug 23th, ECEB5072 is reserved by other courses during the following times:

  • Tuesday, 2:30 PM – 4:20 PM
  • Wednesday, 9:00 AM – 10:50 AM
  • Wednesday, 2:00 PM – 3:50 PM
  • Friday, 3:00 PM – 4:40 PM

Please be aware that during these times, you will not be able to work in the lab, as the lab workstations will be occupied by the students registered for the various classes during these above times. Outside of these times, you are free to come in at any time to work on the MPs or project (especially during office hours!)