diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
index b36c358..11e0239 100644
--- a/docs/misc/changelog.rst
+++ b/docs/misc/changelog.rst
@@ -27,6 +27,7 @@ Others:
 Documentation:
 ^^^^^^^^^^^^^^
 - Add highway-env to projects page (@eleurent)
+- Add tactile-gym to projects page (@ac-93)
 
 
 Release 1.3.0 (2021-10-23)
@@ -829,4 +830,4 @@ And all the contributors:
 @tirafesi @blurLake @koulakis @joeljosephjin @shwang @rk37 @andyshih12 @RaphaelWag @xicocaio
 @diditforlulz273 @liorcohen5 @ManifoldFR @mloo3 @SwamyDev @wmmc88 @megan-klaiber @thisray
 @tfederico @hn2 @LucasAlegre @AptX395 @zampanteymedio @JadenTravnik @decodyng @ardabbour @lorenz-h @mschweizer @lorepieri8 @vwxyzjn
-@ShangqunYu @PierreExeter @JacopoPan @ltbd78 @tom-doerr @Atlis @liusida @09tangriro @amy12xx @juancroldan @benblack769 @bstee615 @c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn @AechPro @CUN-bjy @batu @IljaAvadiev @timokau @kachayev @eleurent
+@ShangqunYu @PierreExeter @JacopoPan @ltbd78 @tom-doerr @Atlis @liusida @09tangriro @amy12xx @juancroldan @benblack769 @bstee615 @c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn @AechPro @CUN-bjy @batu @IljaAvadiev @timokau @kachayev @eleurent @ac-93
diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst
index 227cbef..60e189b 100644
--- a/docs/misc/projects.rst
+++ b/docs/misc/projects.rst
@@ -93,10 +93,10 @@ A fully custom python API and C++ DLL to treat the popular game Rocket League li
 gym-electric-motor
 -------------------
 
-An OpenAI gym environment for the simulation and control of electric drive trains. 
+An OpenAI gym environment for the simulation and control of electric drive trains.
 Think of Matlab/Simulink for electric motors, inverters, and load profiles, but non-graphical and open-source in Python.
 
-`gym-electric-motor` offers a rich interface for customization, including 
+`gym-electric-motor` offers a rich interface for customization, including
 - plug-and-play of different control algorithms ranging from classical controllers (like field-oriented control) up to any RL agent you can find,
 - reward shaping,
 - load profiling,
@@ -132,3 +132,12 @@ Driving policies can be trained in different scenarios, and several notebooks us
 | GitHub: https://github.com/eleurent/highway-env
 | Examples: `Colab Links <https://github.com/eleurent/highway-env/tree/master/scripts#using-stable-baselines3>`_
 
+tactile-gym
+-------------------
+
+Suite of RL environments focussed on using a simulated tactile sensor as the primary source of observations. Sim-to-Real results across 4 out of 5 proposed envs.
+
+| Author: Alex Church
+| GitHub: https://github.com/ac-93/tactile_gym
+| Paper: https://arxiv.org/abs/2106.08796
+| Website: `tactile-gym website <https://sites.google.com/my.bristol.ac.uk/tactile-gym-sim2real/home>`_