EX#13 navigation

  課堂練習 

Deadline:  Saturday at 23:59 (one more week)

Send all the share links to  me chang212@gmail.com by email with subject EX#13 [your id, your name]

1. 

參考Voronoi navigation app

製作以下場景的導航（可使用前一次作業的3d model）

task 1: make an entrance/exit. make the auto-navigation route deliberately exit through this gate (e.g., a waypoint placed just outside on the brick path) and go to central woods as destination.

task 2: set FPV (first-person view) and maintain horizontal view angle

task 3: show Voronoi Waypoints for navigation

2. Generate fractals from text. You may choose two themes to present. The following are some examples and the prompts that generate them.

artifact (share)

artifact (share)

artifact (share)

artifact(share)

artifact, fly thru woods

Trees are fractals

 

HW#12 PnR for Apple C1 PLL and RISC Core CPU

  1. Build a model of Apple C1 ADPLL — 7.0 GHz (spec) with A* and NM Version, NM cross checked by MNA,  

2. Enhance the Apple C1 PLL model with DTC by building an Optimizer with MNA-powered trajectory. share, DTC-Solver

You may refer to schematic, architecture and timing, DTC-TDC Timing (share)

Apple C1 ADPLL — 7.0 GHz  (C1 is N4P)

Head-to-head

3. Macro Routing for a RISC core CPU

 baseline macro 32, metal layers 3, die 550 × 600 μm

add timing

add CTS

add std cells

add logistic prob of wins

Bit sliced macro 28, metal layers 9, die 690 × 750 μm

EX#12

1. 從影像資料庫選取 1 幅，製作3d 模型圖

2. Add engine animation of Leap 71 (Hint: prompt "Add engine animation")

3. Add navigation for the urban pedestrian (Hint: prompt "navigate")

4. 製作3d 障礙模型圖，模擬盲人行進 

The model is broken. The pedestrian got stuck ahead of the air-conditioner. Your task is repair the model to walk around it and make it to the destination.

Your prompts show a clear progression from initial obstacle identification → edge detection → 3D visualization → realistic models → collision detection → intelligent avoidance → critical safety zones.

• Try the vanilla version. No detection of obstacles. No avoidance.
• Try the detection only version.
• Try the shaky version with detection and avoidance 
• Make a comprehensive, functional version with detection and Voronoi-based avoidance

prompt share: ＡＩ障礙偵測，行進模擬