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Merge pull request #11 from parametricpbc/johnnewsom/readme-stuff
Resolve few small typos in READMEs
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README.md

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@@ -226,19 +226,6 @@ robot = get_yam_robot(channel="can0", zero_gravity_mode=False)
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In this mode, the current joint positions (`qpos`) are used as the PD target, keeping the arm stable in its initial state.
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One important way to reduce the risk of the arm going out of control is to avoid entering zero-gravity mode.
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By default, the arm initializes in zero-gravity mode. As mentioned earlier, if the arm does not have a timeout but the gravity compensation loop fails, the motor controller will continue applying a constant torque. This can lead to unexpected and potentially unsafe behavior.
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To prevent this, you should always set a PD target. With a PD target, the motor controller ensures the arm reaches a stable state rather than drifting under uncontrolled torque.
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You can disable the default zero-gravity initialization like this:
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```python
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robot = get_yam_robot(channel="can0", zero_gravity_mode=False)
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```
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In this mode, the current joint positions (`qpos`) are used as the PD target, keeping the arm stable in its initial state.
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## Flow Base Usage
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For unboxing instructions and hardware setup details, please refer to the [FlowBase README](./i2rt/flow_base/README.md).

examples/bimanual_lead_follower/README.md

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@@ -18,7 +18,7 @@ This tutorial demonstrates how to set up a bimanual lead-follower system. This t
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**⚠️ Critical Step:** Plug in **one CAN device at a time** to avoid conflicts.
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1. Follow the instructions in [set_persist_id_socket_can.md](doc/set_persist_id_socket_can.md) to configure each arm:
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1. Follow the instructions in [set_persist_id_socket_can.md](../../doc/set_persist_id_socket_can.md) to configure each arm:
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- **Left leader arm:** `can_leader_l`
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- **Right leader arm:** `can_leader_r`
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- **Left follower arm:** `can_follower_l`

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